Kamran Iqbal
Control systems are pervasive in our lives. Our homes have environmental controls. The appliances we use, such as the washing machine, microwave, etc. carry embedded controllers in them. We fly in airplanes and drive automobiles that extensively use control systems. The industrial plants that produce consumer goods run on process control systems. The recent drive toward automation has increased our reliance on control systems technology.This book discusses control systems design from a model-based perspective for dynamic system models of single-input single-output type. The emphasis in this book is on understanding and applying the techniques that enable the design of effective control systems in multiple engineering disciplines. The book covers both time-domain and the frequency-domain design methods, as well as controller design for both continuous-time and discrete-time systems. MATLAB© and its Control Systems Toolbox are extensively used for design.
1 Mathematical Models of Physical Systems 2 Analysis of Transfer Function Models 3 Analysis of State Variable Models 4 Feedback Control Systems 5 Control System Design Objectives 6 Control System Design with Root Locus 7 Design of Sampled-Data Systems 8 Controller Design for State Variable Models 9 Frequency Response Design of Compensators
This book discusses control systems design from a model-based perspective for dynamic system models of single-input single-output type. The emphasis is on the techniques that enable the design of effective control systems. Time-domain and frequency-domain design methods are covered. MATLAB (c) and its Control Systems Toolbox are used.
Über den Autor
Kamran Iqbal obtained his B.E. in Aeronautical Engineering from NED University, his M.S. and Ph.D. in Electrical Engineering from the Ohio State University, and did his postdoctoral work at Northwestern University. He has held academic appointments at College or Aeronautical Engineering, GIK Institute of Engineering Science and Technology, University of California,
Riverside, University of California, Irvine, California State University at Fullerton, and University of Arkansas at Little Rock where he currently serves as Professor of Systems Engineering in the College of Engineering and Information Technology. Control Systems and Digital Signal Processing are among his favourite subjects. His research interests include neuromechanics of
human movement, computational intelligence, and biomedical engineering and signal processing. He is a member of IEEE (USA), IET (UK), ASEE, IASTED, and Sigma Xi, and has been a regular contributor to the IEEE Engineering in Medicine and Biology conference.
Inhaltsverzeichnis
1 Mathematical Models of Physical Systems 2 Analysis of Transfer Function Models 3 Analysis of State Variable Models 4 Feedback Control Systems 5 Control System Design Objectives 6 Control System Design with Root Locus 7 Design of Sampled-Data Systems 8 Controller Design for State Variable Models 9 Frequency Response Design of Compensators
