This note deals with the problem of stabilization/stability for neutral systems with nonlinear perturbations. A new stabilization/stability scheme is presented. Using improved Lyapunov functionals, less conservative s...
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This note deals with the problem of stabilization/stability for neutral systems with nonlinear perturbations. A new stabilization/stability scheme is presented. Using improved Lyapunov functionals, less conservative stabilization/stability conditions are derived for such systems based on linear matrix inequalities (LMI). Numerical examples are provided to show that the proposed results significantly improve the allowed upper bounds of the delay size over some existing ones in the literature.
作者:
Subrata BanerjeeT. K. Sunil KumarJayanta PalDinkar PrasadDepartment of Electrical Engineering
Indian Institute of Technology Kharagpur India. T.K.Sunil Kumar:was born in 1974 at Calicut
India. He received the B.Tech in electrical engineering in 1997 from N.S.S College of Engineering Palakkad (Calicut University) and M.Tech in Power System in 2001 from Regional Institute of Technology Jamshedpur (Ranchi University). Since 2001 he has been pursuing research work for his Ph.D in Electrical Engineering at Indian Institute of Technology Kharagpur. He is a life member of Systems Society of India. His main research interests includes application of control theory and computers to power system model order reduction genetic algorithm PID tuning random search optimization controller deign in 2-DOF configuration and interval systems. Emerson Network Power
India.
This paper describes design and implementation of a control philosophy for simultaneous stabilization and performance improvement of an electromagnetic levitation system. An electromagnetic levitation system is an inh...
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This paper describes design and implementation of a control philosophy for simultaneous stabilization and performance improvement of an electromagnetic levitation system. An electromagnetic levitation system is an inherently unstable and strongly nonlinear system. To determine the overall closed loop stability for such a system, cascade lead-lag compensation has mostly been reported [1,2]. However, a single lead controller can not satisfy both stability and performance for such unstable systems [3]. Performance enhancement to satisfy the conflicting requirements of fast response with almost zero overshoot and zero steady state error has been successfully achieved by using a two loop controller configuration. The lead controller in the inner loop is designed to ensure stability while the outer loop PI controller is designed for performance enhancement. This approach decouples the twin requirements of stabilization (by the inner loop) and performance achievement (by the outer PI loop). The outermost PI controller has been designed using the ‘Approximate Model Matching’ technique [4]. The proposed control strategy has been implemented and the experimentation has been demonstrated successfully. Different experimental results have been included for verification.
Epileptic seizures are generated by an abnormal synchronization of neurons unforeseeable for the patients. In this study we analyzed invasive electroencephalogram (EEG) recordings in patients suffering from medically ...
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Epileptic seizures are generated by an abnormal synchronization of neurons unforeseeable for the patients. In this study we analyzed invasive electroencephalogram (EEG) recordings in patients suffering from medically intractable focal epilepsy with two non-linear methods, Approximate Entropy (ApEri) and Lempel-Ziv (LZ) complexity. ApEn and LZ complexity quantify the regularity and complexity of a time series, respectively, and are well suited to the analysis of non- stationary biomedical signals of short length. Our results show an increase in ApEn and LZ complexity values during seizures at the focal electrodes. These changes could also be seen at some extra focal electrodes. After the seizure ends, the values of both non-linear metrics return to values lower than those before the seizure. Moreover, we quantified the changes in LZ complexity, showing the complexity increase during the seizure and its notable decrease after its end. Our results suggest that these techniques are useful to detect changes due to epileptic seizures in the EEG.
An adaptive control algorithm for the elimination of torque and velocity ripples in the alternating current (AC) permanent magnet (PM) motor control systems is presented in this paper. A model of AC PM motor system in...
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An adaptive control algorithm for the elimination of torque and velocity ripples in the alternating current (AC) permanent magnet (PM) motor control systems is presented in this paper. A model of AC PM motor system includes n sinusoidal disturbances is first developed. The internal model principle (IMP) is then applied to design a controller to eliminate the torque and velocity ripples without estimating the amplitude and the phase values of the sinusoidal disturbances. Based on the IMP and the pole-zero placement technique, a gain scheduled (GS) robust two-degree-of-freedom (2DOF) speed regulator is developed to eliminate the torque and velocity ripples and to achieve a desirable tracking response. Using the small gain theorem, the system stability radius is obtained for n sinusoidal disturbances with slowly time-varying frequencies. The effectiveness of the proposed GS robust 2DOF speed regulator can be shown by the simulation results of an example with two sinusoidal disturbances.
This paper considers the general filtering problem for a distinct class of two-dimensional (2-D) discrete linear systems, i.e. information propagation in two independent directions, known as discrete linear repetitive...
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This paper considers the general filtering problem for a distinct class of two-dimensional (2-D) discrete linear systems, i.e. information propagation in two independent directions, known as discrete linear repetitive processes which are of both system-theoretic and applications interest. In particular, new results on the design of filters with guaranteed levels of performance are developed. These take the form of algorithms for the design of an H infin and l 2 -l infin dynamic output feedback filter which guarantees that the resulting filtering error process is stable and has prescribed disturbance attenuation performance as measured by H infin and l 2 -l infin norms.
We investigate two-way and one-way single-photon quantum key distribution (QKD) protocols in the presence of loss introduced by the quantum channel. Our analysis is based on a simple precondition for secure QKD in eac...
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We investigate two-way and one-way single-photon quantum key distribution (QKD) protocols in the presence of loss introduced by the quantum channel. Our analysis is based on a simple precondition for secure QKD in each case. In particular, the legitimate users need to prove that there exists no separable state (in the case of two-way QKD), or that there exists no quantum state having a symmetric extension (one-way QKD), that is compatible with the available measurements results. We show that both criteria can be formulated as a convex optimization problem known as a semidefinite program, which can be efficiently solved. Moreover, we prove that the solution to the dual optimization corresponds to the evaluation of an optimal witness operator that belongs to the minimal verification set of them for the given two-way (or one-way) QKD protocol. A positive expectation value of this optimal witness operator states that no secret key can be distilled from the available measurements results. We apply such analysis to several well-known single-photon QKD protocols under losses.
We consider a class of problems of multicriteria selection, where final set of alternatives is known, a number of alternatives can be sufficiently great, they can be evaluated both quantitatively and qualitatively. In...
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In this paper, we first review Chen's chaotic neural network model and then propose a novel wavelet chaotic neural network. Second, we apply them to search global minima of a continuous function, respectively. Mea...
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This paper deals with the optimization of iterative algorithms with matrix operations or nested loops for hardware implementation in Field Programmable Gate Arrays (FPGA), using Integer Linear Programming (ILP). The m...
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