All practical systems contain nonlinear dynamics. Control system development for
these systems has traditionally been based on linearized system dynamics in
conjunction with linear control techniques. Sometimes it is possible to describe the
operation of systems by a linear model around its operating points. Linearized system
can provide approximate behavior of the system. But in analyzing the overall system
behavior, the resulting system model is inadequate or inaccurate. Moreover, the
stability of the system cannot be guaranteed.
A trend of inverstigation of Nonlinear Control Systems has been present over the last few decades. As a result the methods for its analysis and design have improved rapidly. This book includes nonlinear design topics such as Feedback Linearization, Lyapunov Based Control, Adaptive Control, Optimal Control and Robust Control.
A Series of Reference Books and Textbooks Editors NEIL MUNRO, PH.D., D.SC. Professor Applied Control Engineering University of Manchester Institute of Science and Technology Manchester, United Kingdom FRANK L.LEWIS, PH.D. Moncrief-O’Donnell Endowed Chair and Associate Director of Research Automation & Robotics Research Institute University of Texas, Arlington
1. Nonlinear Control of Electric Machinery, Darren M.Dawson, Jun Hu, and Timothy C.Burg 2. Computational Intelligence in Control Engineering, Robert E.King 3.
This volume brings about the contemporary results in the field of discrete-time systems. It covers papers written on the topics of robust control, nonlinear systems and recent applications. Although the technical views are different, they all geared towards focusing on the up-to-date knowledge gain by the researchers and providing effective developments along the systems and control arena. Each topic has a detailed discussions and suggestions for future perusal by interested investigators.
DESIGN OF ROBUST PID CONROLLERS FOR MIMO SECOND-ORDER NONLINEAR SYSTEMS AND APPLICATIONS IN CONTROL OF INDUSRIAL MANIPULATORS
Bài báo nêu lên phương pháp thiết kế bộ điều khiển PID bền vững để áp dụng vào điều khiển các hệ phi tuyến bậc hai nhiều đầu vào – nhiều đầu ra (MIMO) có các tham số và nhiễu không xác định. Các tham số của bộ điều khiển PID được xác định bằng công thức mới sử dụng ngưỡng thay đổi của các thành phần không xác....
A CONTROL ENGINEERING APPROACH TO FUZZY CONTROL This book gives a comprehensive treatment of model-based fuzzy control systems. The central subject of this book is a systematic framework for the stability and design of nonlinear fuzzy control systems. Building on the so-called Takagi-Sugeno fuzzy model, a number of most important issues in fuzzy control systems are addressed. These include stability analysis, systematic design procedures, incorporation of performance specifications, robustness, optimality, numerical implementations, and last but not the least, applications. ...