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Journal articleHui SYR, 2016,
Magnetic resonance for wireless power transfer
, IEEE Power Electronics Magazine, Vol: 3, Pages: 14-31, ISSN: 2329-9207Magnetic resonance has been a cornerstone of nonradiative wireless power transfer (WPT) since the late 19th century. However, some researchers have the misconception that magnetic resonance for WPT was developed recently. This article traces some early work of Tesla and other researchers related to the use of magnetic resonance in WPT. Included are some examples of magnetic resonance-based WPT projects conducted by researchers in the biomedical and power electronics communities over the last few decades. Two principles used in WPT are reiterated in this article, and their advantages and disadvantages are addressed. Some issues that may affect future trends of short- and midrange applications are discussed.
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Journal articlePereda Torres J, green T, 2016,
Direct Modular Multilevel Converter With Six Branches for Flexible Distribution Networks
, IEEE Transactions on Power Delivery, Vol: 31, Pages: 1728-1737, ISSN: 0885-8977This paper presents a complete analysis of a direct ac-to-ac modular multilevel converter (direct MMC) applied in medium voltage distribution networks through the soft-openpoint concept. The direct MMC is capable of bidirectional power flow between two feeders at any power factor, even when the feeders have different nominal voltages and operate with a phase shift angle or unbalanced voltages. The converter has six branches, each one composed of full H-bridges cells connected in series to generate a multilevel voltage waveform, to share the blocking voltage of the power switches and to have fault tolerant operation.This paper presents a suitable control scheme and provides a discussion about the capabilities and limitations of the converter, the capacitor voltage balance control, the efficiency and the power loss mitigation at various operation points. Simulation results and power loss calculations are presented for a threephase 11 kV 16 MVA direct MMC with 10 H-bridge cells per branch. The direct MMC is simulated in a distribution network to demonstrate the features of the converter and control under various operation conditions, including grid faults.
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Journal articleGuo Y, Li S, Lee ATL, et al., 2016,
Single-Stage AC/DC Single-Inductor Multiple-Output LED Drivers
, IEEE Transactions on Power Electronics, Vol: 31, Pages: 5837-5850, ISSN: 1941-0107Various ac/dc LED driver topologies have been proposed to meet the challenges of achieving a compact, efficient, low-cost, and robust multistring LED lighting system. These LED drivers typically employ a two-stage topology to realize the functions of ac/dc rectification and independent current control of each LED string. The choice of having two stage conversions involves additional hardware components and a more complicated controller design process. Such two-stage topologies suffer from a higher system cost, increased power loss, and large form factor. In this paper, a single-stage ac/dc single-inductor multiple-output LED driver is proposed. It uses only one single inductor and N + 1 active power switches (N being the number of LED strings) with reduced component count and smaller form factor. The proposed driver can achieve both functions of ac/dc rectification with a high power factor and precise independent current control of each individual LED string simultaneously. A prototype of an ac/dc single-inductor triple-output LED driver is constructed for verification. Experimental results corroborate that precise and independent current regulation of each individual LED string is achievable with the proposed driver. A power factor of above 0.99 and a peak efficiency of 89% at 30-W rated output power are attainable.
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Journal articleTeng F, Trovato V, Strbac G, 2016,
Stochastic scheduling with inertia-dependent fast frequency response requirements
, IEEE Transactions on Power Systems, Vol: 31, Pages: 1557-1566, ISSN: 0885-8950High penetration of wind generation will increase the requirement for fast frequency response services as currently wind plants do not provide inertial response. Although the importance of inertia reduction has been widely recognized, its impact on the system scheduling has not been fully investigated. In this context, this paper proposes a novel mixed integer linear programming (MILP) formulation for stochastic unit commitment that optimizes system operation by simultaneously scheduling energy production, standing/spinning reserves and inertia-dependent fast frequency response in light of uncertainties associated with wind production and generation outages. Post-fault dynamic frequency requirements, rate of change of frequency, frequency nadir and quasi-steady-state frequency are formulated as MILP constraints by using the simplified model of system dynamics. Moreover the proposed methodology enables the impact of wind uncertainty on system inertia to be considered. Case studies are carried out on the 2030 Great Britain system to demonstrate the importance of incorporating inertia-dependent fast frequency response in the stochastic scheduling and to indicate the potential for the proposed model to inform reviews of grid codes associated with fast frequency response and future development of inertia-related market.
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Journal articleParisini T, 2016,
Editorial
, IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, Vol: 24, Pages: 381-382, ISSN: 1063-6536This editorial aims to share with our readership the status and a few figures about our TRANSACTIONS.
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Conference paperKerrigan EC, Khusainov B, Constantinides GA, 2016,
What Is Different about Embedded Optimization?
, European Control Conference (ECC), Publisher: IEEE, Pages: 600-600 -
Conference paperJiang J, Astolfi A, 2016,
Shared-Control for Typical Driving Scenarios
, European Control Conference -
Journal articleCooper SJG, Hammond GP, McManus MC, et al., 2016,
Detailed simulation of electrical demands due to nationwide adoption of heat pumps, taking account of renewable generation and mitigation
, IET Renewable Power Generation, Vol: 10, Pages: 380-387, ISSN: 1752-1416This study quantifies the increase in the peak power demand, net of non-dispatchable generation, that may be required by widespread adoption of heat pumps. Electrification of heating could reduce emissions but also cause a challenging increase in peak power demand. This study expands on previous studies by quantifying the increase in greater detail; considering a wider range of scenarios, the characteristics of heat pumps and the interaction between wind generation and demand side management (DSM). A model was developed with dynamic simulations of individual heat pumps and dwellings. The increase in peak net-demand is highly sensitive to assumptions regarding the heat pumps, their installation, building fabric and the characteristics of the grid. If 80% of dwellings in the UK use heat pumps, peak net-demand could increase by around 100% (54 GW) but this increase could be mitigated to 30% (16 GW) by favourable conditions. DSM could reduce this increase to 20%, or 15% if used with extensive thermal storage. If 60% of dwellings use heat pumps, the increase in peak net-demand could be as low as 5.5 GW. High-performance heat pumps, appropriate installation and better insulated dwellings could make the increase in peak net-demand due to the electrification of heating more manageable.
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Journal articleTrovato V, Tindemans SH, Strbac G, 2016,
The leaky storage model for optimal multi-service allocation of thermostatic loads
, IET Generation Transmission & Distribution, Vol: 10, Pages: 585-593, ISSN: 1751-8687Collectively, thermostatically controlled loads (TCLs) offer significant potential for short-term demand response. This intrinsic flexibility can be used to provide various ancillary services or to carry out energy arbitrage. This paper introduces an aggregate description of the flexibility of a heterogeneous TCLs as a leaky storage unit, with associated constraints that are derived from the TCL device parameters and quality of service requirements. In association with a suitable TCL control strategy this enables a straightforward embedding of TCL dynamics in optimisation frameworks. The tools developed are applied to the problem of determining an optimal multi-service portfolio for TCLs. A linear optimisation model is constructed for the optimal simultaneous allocation of frequency services and energy arbitrage. In a case study, optimal service allocations are computed for eight representative classes of cold appliances and the results are validated using simulations of individual refrigerators. Finally, it is demonstrated that clustering of appliances with similar capabilities can significantly enhance the flexibility available to the system.
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Journal articleShabbir W, Evangelou S, 2016,
Exclusive Operation Strategy for the Supervisory Control of Series Hybrid Electric Vehicles
, IEEE Transactions on Control Systems Technology, Vol: 24, Pages: 2190-2198, ISSN: 1558-0865Supervisory control systems (SCSs) are used to managethe powertrain of hybrid electric vehicles (HEV). This paperpresents a novel SCS called Exclusive operation strategy (XOS)that applies simple rules based on the idea that batteries areefficient at lower loads while engines and generators are efficientat higher loads. The XOS is developed based on insights gainedfrom three conventional SCSs for series HEVs: Thermostat controlstrategy (TCS), Power follower control strategy (PFCS) andGlobal equivalent consumption minimization strategy (GECMS).Also, recent technological developments have been considered tomake the XOS more suited to modern HEVs than conventionalSCSs. The resulting control decisions are shown to emulatethe operation of approximate global optimal solutions and thusachieve significant improvement in fuel economy as comparedto TCS and PFCS. In addition, the generally linear relationshipbetween required power and engine power for the XOS providesauditory cues to the driver that are comparable to conventionalvehicles, thus reducing barriers to adopting HEVs. The simplicityand effectiveness of the XOS makes it a practical SCS.
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Conference paperDe Paola A, Angeli D, Strbac G, 2016,
Analysis of Nash equilibria in energy markets with large populations of price-responsive flexible appliances
, 2015 54th IEEE Conference on Decision and Control (CDC), Publisher: IEEE, Pages: 5587-5592, ISSN: 0743-1546This paper deals with flexible electrical devices that, on the basis of a broadcast price signal, schedule their individual power consumption in order to minimize their energy cost. If the devices population is sufficiently large to be described as a continuum, it is possible to provide necessary and sufficient conditions for the existence of a Nash equilibrium in the energy market. This is done by comparing two functions which characterize, respectively, the valley capacity of the inflexible demand and the global properties of the appliances population. The equilibrium conditions, which do not require any iterative procedure to be applied, are finally tested in simulations.
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Journal articleKeliris C, Polycarpou MM, Parisini T, 2016,
An integrated learning and filtering approach for fault diagnosis of a class of nonlinear dynamical systems
, IEEE Transactions on Neural Networks and Learning Systems, Vol: 28, Pages: 988-1004, ISSN: 2162-237XThis paper develops an integrated filtering and adaptive approximation-based approach for fault diagnosis of process and sensor faults in a class of continuous-time nonlinear systems with modeling uncertainties and measurement noise. The proposed approach integrates learning with filtering techniques to derive tight detection thresholds, which is accomplished in two ways: 1) by learning the modeling uncertainty through adaptive approximation methods and 2) by using filtering for dampening measurement noise. Upon the detection of a fault, two estimation models, one for process and the other for sensor faults, are initiated in order to identify the type of fault. Each estimation model utilizes learning to estimate the potential fault that has occurred, and adaptive isolation thresholds for each estimation model are designed. The fault type is deduced based on an exclusion-based logic, and fault detectability and identification conditions are rigorously derived, characterizing quantitatively the class of faults that can be detected and identified by the proposed scheme. Finally, simulation results are used to demonstrate the effectiveness of the proposed approach.
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Journal articleAriff MAM, Pal BC, 2016,
Adaptive Protection and Control in Power Systemfor Wide-Area Blackout Prevention
, IEEE Transactions on Power Delivery, Vol: 31, Pages: 1815-1825, ISSN: 0885-8977This paper presents a new approach in adaptive outof-step(OOS) protection settings in power system in real-time.The proposed method uses extended equal area criterion (EEAC)to determine the critical clearing time (CCT) and critical clearingangle (CCA) of the system, which are vital information for OOSprotection setting calculation. The dynamic model parametersand the coherency groups of the system for EEAC analysis aredetermined in real time to ensure that the newly calculatedsettings suit with the prevalent system operating condition. Theeffectiveness of the method is demonstrated in a simulated datafrom 16-machine 68-bus system model.
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Journal articlePin G, Assalone A, Lovera M, et al., 2016,
Non-asymptotic kernel-based parametric estimation of continuous-time linear systems
, IEEE Transactions on Automatic Control, Vol: 61, Pages: 360-373, ISSN: 0018-9286In this paper, a novel framework to address the problem of parametric estimation for continuous-time linear time-invariant dynamic systems is dealt with. The proposed methodology entails the design of suitable kernels of non-anticipative linear integral operators thus obtaining estimators showing, in the ideal case, “non-asymptotic” (i.e., “finite-time”) convergence. The analysis of the properties of the kernels guaranteeing such a convergence behaviour is addressed and a novel class of admissible kernel functions is introduced. The operators induced by the proposed kernels admit implementable (i.e., finite-dimensional and internally stable) state-space realizations. Extensive numerical results are reported to show the effectiveness of the proposed methodology. Comparisons with some existing continuous-time estimators are addressed as well and insights on the possible bias affecting the estimates are provided.
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Journal articleLi S, Tan S-C, Lee CK, et al., 2016,
A Survey, Classification, and Critical Review of Light-Emitting Diode Drivers
, IEEE TRANSACTIONS ON POWER ELECTRONICS, Vol: 31, Pages: 1503-1516, ISSN: 0885-8993- Author Web Link
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- Citations: 164
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Journal articleBettiol P, Khalil N, Vinter RB, 2016,
Normality of Generalized Euler-Lagrange Conditions for State Constrained Optimal Control Problems
, Journal of Convex Analysis, Vol: 23, Pages: 291-311, ISSN: 0944-6532We consider state constrained optimal control problems in which the cost to minimize comprises both integral and end-point terms, establishing normality of the generalized Euler-Lagrange condition. Simple examples illustrate that the validity of the Euler-Lagrange condition (and related necessary conditions), in normal form, depends crucially on the interplay between velocity sets, the left end-point constraint set and the state constraint set. We show that this is actually a common feature for general state constrained optimal control problems, in which the state constraint is represented by closed convex sets and the left end-point constraint is a closed set. In these circumstances classical constraint qualifications involving the state constraints and the velocity sets cannot be used alone to guarantee normality of the necessary conditions. A key feature of this paper is to prove that the additional information involving tangent vectors to the left end-point and the state constraint sets can be used to establish normality.
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Journal articleLin D, Zhang C, Hui SYR, 2016,
Mathematic Analysis of Omnidirectional Wireless Power Transfer-Part-II Three-Dimensional Systems
, IEEE TRANSACTIONS ON POWER ELECTRONICS, Vol: 32, Pages: 613-624, ISSN: 0885-8993 -
Journal articleLin D, Zhang C, Hui SYR, 2016,
Mathematical Analysis of Omnidirectional Wireless Power Transfer-Part-I: Two-Dimensional Systems
, IEEE TRANSACTIONS ON POWER ELECTRONICS, Vol: 32, Pages: 625-633, ISSN: 0885-8993 -
Journal articleDe Paola A, Angeli D, Strbac G, 2016,
Scheduling of Wind Farms for Optimal Frequency Response and Energy Recovery
, IEEE Transactions on Control Systems Technology, Vol: 24, Pages: 1764-1778, ISSN: 1063-6536This paper deals with control of variable speed wind turbines, which provide frequency support through temporary overproduction. In particular, it determines the optimal profile of power extraction among multiple generators in order to minimize the total loss of efficiency, while allowing for a prescribed increase in generation. Starting with the simplifying assumption of unconstrained generated/supplied power for the single turbine, the scheduling is characterized as the solution of an optimal control problem. On the basis of this result, a heuristic control strategy is proposed for the case of turbines with limited power output, investigating under which conditions this choice achieves optimality. Using a similar approach, the problem of energy recovery is also considered, calculating the optimal power profiles that bring back the turbines to their working point of maximum efficiency after having provided frequency response.
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Conference paperSun M, Konstantelos I, Strbac G, 2016,
Analysis of diversified residential demand in London using smart meter and demographic data
, 2016 IEEE PES General Meeting, Publisher: IEEEIn the interest of economic efficiency, design of distribution networks should be taillored to the demonstrated needs of its consumers. However, in the absence of detailed knowledge related to the characteristics of electricity consumption, planning has traditionally been carried out on the basis of empirical metrics; conservative estimates of individual peak consumption levels and of demand diversification across multiple consumers. Although such practices have served the industry well, the advent of smart metering opens up the possibility for gaining valuable insights on demand patterns, resulting in enhanced planning capabilities. This paper is motivated by the collection of demand measurements across 2,639 households in London, as part of Low Carbon London project’s smart-metering trial. Demand diversity and other metrics of interest are quantified for the entire dataset as well as across different customer classes, investigating the degree to which occupancy level and wealth can be used to infer peak demand behavior.
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Journal articleLuo X, Lee CK, Ng WM, et al., 2016,
Use of adaptive thermal storage system as smart load for voltage control and demand response
, IEEE Transactions on Smart Grid, Vol: 8, Pages: 1231-1241, ISSN: 1949-3053This paper describes how a large-scale ice-thermal storage can be turned into a smart load for fast voltage control and demand-side management in power systems with intermittent renewable power, while maintaining its existing function of load shaving. The possibility of modifying a conventional thermal load has been practically demonstrated in a refrigerator using power electronics technology. With the help of an electric spring, the modified thermal load can reduce power imbalance in buildings while providing active and reactive power compensation for the power grid. Based on practical data, a building energy model incorporating a large-scale ice-thermal storage system has been successfully used to demonstrate the advantageous demand-response features using computer simulation of both grid connected and isolated power systems. The results indicate the potential of using ice-thermal storage in tall buildings in reducing voltage and frequency fluctuations in weak power grids.
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Conference paperSingh A, Pal B, 2016,
An extended linear quadratic regulator and its application for control of power system dynamics
, IEEE First International Conference on Control, Measurement and Instrumentation (CMI), Publisher: IEEE, Pages: 110-114This paper presents a generalized solution to the problem of optimal control of systems having an extra set of exogenous inputs besides control inputs. The solution is derived in the framework of linear quadratic control and it is termed `extended linear quadratic regulator (ELQR)'. The ELQR is applied for control of unstable or poorly damped oscillatory dynamics occurring in a power system and is shown to be significantly more cost effective than the classical power system stabilizer (PSS) based approach.
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Conference paperMajumdar A, Pal BC, 2016,
A three-phase state estimation in unbalanced distribution networks with switch modelling
, 1st IEEE International Conference on Control, Measurement and Instrumentation (CMI), Publisher: IEEE, Pages: 474-478State estimation has become an important task in modern energy/distribution management systems. However, the state estimation is not very popular in modern unbalanced three-phase distribution systems. This paper proposes a method for three-phase state estimation with detailed three-phase modelling of system components including switches and star and delta connected loads. This method is then tested on a standard IEEE 13-bus system and the results are compared with load flow results.
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Journal articleSootla A, Oyarzun DA, Angeli D, et al., 2016,
Shaping Pulses to Control Bistable Systems: Analysis, Computation and Counterexamples
, Automatica, Vol: 63, Pages: 254-264, ISSN: 1873-2836In this paper we study how to shape temporal pulses to switch a bistable system between its stable steady states. Our motivation forpulse-based control comes from applications in synthetic biology, where it is generally difficult to implement real-time feedback controlsystems due to technical limitations in sensors and actuators. We show that for monotone bistable systems, the estimation of the set ofall pulses that switch the system reduces to the computation of one non-increasing curve. We provide an efficient algorithm to computethis curve and illustrate the results with a genetic bistable system commonly used in synthetic biology. We also extend these results tomodels with parametric uncertainty and provide a number of examples and counterexamples that demonstrate the power and limitationsof the current theory. In order to show the full potential of the framework, we consider the problem of inducing oscillations in a monotonebiochemical system using a combination of temporal pulses and event-based control. Our results provide an insight into the dynamics ofbistable systems under external inputs and open up numerous directions for future investigation.
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Journal articleAl-Radhawi MA, Angeli D, 2016,
New approach to the stability of chemical reaction networks: piecewise linear in rates Lyapunov functions
, IEEE Transactions on Automatic Control, Vol: 61, Pages: 76-89, ISSN: 1558-2523Piecewise-linear in rates (PWLR) Lyapunov functions are introduced for a class of chemical reaction networks (CRNs). In addition to their simple structure, these functions are robust with respect to arbitrary monotone reaction rates, of which Mass-Action is a special case. The existence of such functions ensures the convergence of trajectories towards equilibria, and can be used to establish their asymptotic stability with respect to the corresponding stoichiometric compatibility class. We give the definition of these Lyapunov functions, prove their basic properties, and provide algorithms for constructing them. Examples are provided, relationship with consensus dynamics are discussed, and future directions are elaborated.
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Journal articleKunjumuhammed LP, Pal BC, Oates C, et al., 2016,
Electrical Oscillations in Wind Farm Systems: Analysis and Insight Based on Detailed Modeling
, IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, Vol: 7, Pages: 51-62, ISSN: 1949-3029- Author Web Link
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- Citations: 76
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Journal articleLee ATL, Chen H, Tan SC, et al., 2016,
Precise Dimming and Color Control of LED Systems Based on Color Mixing
, IEEE Transactions on Power Electronics, Vol: 31, Pages: 65-80, ISSN: 1941-0107This paper proposes a closed-loop nonlinear scheme for precisely controlling the luminosity and correlated color temperature (CCT) of a bicolor adjustable light-emitting diode (LED) lamp. The main objective is to achieve a precise and fully independent dimming and CCT control of the light mixture emitted from a two-string LED lamp comprising warm-white and cool-white color LEDs, regardless of the operating conditions and throughout the long operating lifetime of the LED lamp. The proposed control method is formulated using the nonlinear empirical LED model of the bicolor white LED system. Experimental results show that with the proposed closed-loop nonlinear approach, both CCT and dimming control of the bicolor lamp is significantly more accurate and robust to ambient temperature variations, ambient light interference, and LED aging than the conventional linear approach used in existing products. The maximum error in luminous flux employing the proposed closed-loop nonlinear approach is 3%, compared with 20% using the closed-loop linear approach. The maximum deviation in CCT is only 1.78%, compared with 27.5% with its linear counterpart.
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Conference paperTeng F, Strbac G, 2016,
Commercial strategy for operating energy storage in supporting integration of renewable generation
, 8th IEEE International Power Electronics and Motion Control Conference (IPEMC-ECCE Asia), Publisher: IEEE, Pages: 519-523- Author Web Link
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- Citations: 1
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Conference paperBloemink JM, Green TC, 2016,
Required VSC Efficiency for Zero Net-Loss Distribution Network Active Compensation
, 7th IEEE International Symposium On Power Electronics for Distributed Generation Systems (PEDG), Publisher: IEEE, ISSN: 2329-5759- Author Web Link
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- Citations: 1
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Conference paperLi P, Fedele G, Pin G, et al., 2016,
Kernel-based Deadbeat Parametric Estimation of Bias-affected Damped Sinusoidal Signals
, European Control Conference (ECC), Publisher: IEEE, Pages: 519-524- Author Web Link
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- Citations: 6
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