Stability and Stabilization of Linear and Fuzzy Time-Delay Systems: A Linear Matrix Inequality Approach: 141 (Intelligent Systems Reference Library) - Tapa blanda

Acerca del autor

​Rajeeb Dey is presently working with National Institute of Technology, Silchar,Assam, India, as Assistant Professor in the Department of Electrical Engineering.Before joining NIT Silchar, he has served Sikkim Manipal University, Sikkim, for 12years in various positions (Lecturer, Reader and Associate Professor). His researchinterests are time-delay systems and control, robust control, control of biomedicalsystems and application of wireless communication in control. He is presentlyreviewer of many SCI(E) journals related to control engineering and applied math-ematics. He is senior member of IEEE, CSS, Life member of System Society of India,Member Institution of Engineers (India). E-mail: rajeeb.iitkgp@gmail.com.
Goshaidas Ray is presently full Professor in Heritage Institute of Technology,Kolkata. Before joining Heritage Institute of Technology, he has served for over 35years as a Professor in the Department of Electrical Engineering at Indian Instituteof Technology Kharagpur, India. He has published over 100 papers in reputedinternational and national journals. E-mail: gray@ee.iitkgp.ernet.in.
Valentina Emilia Balas is currently full Professor in the Department of Automaticsand Applied Software at the Faculty of Engineering, “Aurel Vlaicu” University ofArad, Romania. She holds a Ph.D. in Applied Electronics and Telecommunicationsfrom Polytechnic University of Timisoara. Dr. Balas is author of more than 250research papers in refereed journals and International Conferences. Her researchinterests are in Intelligent Systems, Fuzzy Control, Soft Computing, Smart Sensors,Information Fusion, Modeling and Simulation. She is the Editor-in Chief toInternational Journal of Advanced Intelligence Paradigms (IJAIP) and toInternational Journal of Computational Systems Engineering (IJCSysE), memberin Editorial Board member of several national and international journals and is thedirector of Intelligent Systems Research Centre in Aurel Vlaicu University of Arad.She is a member of EUSFLAT, SIAM and a Senior Member IEEE, member in TC –Fuzzy Systems (IEEE CIS), member in TC – Emergent Technologies (IEEE CIS),member in TC – Soft Computing (IEEE SMCS). E-mail: balas@drbalas.ro.

De la contraportada

This book provides a clear understanding in formulating stability analysis and state feedback control of retarded time delay systems using Lyapunovs second method in an LMI framework. The chapters offer a clear overview of the evolution of stability analysis in terms of the construction of a Lyapunov functional and use of the integral inequalities in order to reduce the gap of delay upper bound estimate compared to frequency domain method through existing and proposed stability theorems. Power system engineering problem has been presented here to give readers fair idea on applicability of the model and method for solving engineering problems. Without deviating from the framework of analysis more complex dynamics of the system have been dealt with here that includes actuator saturation and thereby ascertaining local stability for an estimated time-delay and domain of attraction. Nonlinearity in a time-delay system has been dealt with in the T-S fuzzy modeling approach.

This book is useful as a textbook for Masters students and advanced researcher working in the field of control system engineering, and for practicing engineers dealing with such complex dynamical systems. The strengths of the book are lucidity of presentation, lucidity of solution method, MATLAB programs given in the appendix that help the novice researcher to carry out research in this area independently, clear idea about the formulation of desired stability and control problem in a LMI framework, application problem provided can motivate students and researcher to recast their problems in the similar framework easily, helpful for readers to use the stability (stabilization) conditions or formulate their own stability conditions easily for a complicated linear or nonlinear dynamical system.