To take full advantage of the potential of modern digital control systems, this text demonstrates how to design high-performance model-based controllers using techniques extensively tested in an industrial context. Implementation issues are considered and applications illustrate the effective use of the techniques proposed. Several recent methodological developments in control design and system identification: robust digital control design using sensitivity function shaping; plant identification in closed loop operation; and reduction of controller complexity are covered, as is state space...
To take full advantage of the potential of modern digital control systems, this text demonstrates how to design high-performance model-based contro...
The transfer function approach is widely used in classical control theory for its easy handling and physical meaning. Although the use of transfer functions is well-established for linear time-invariant systems, it is not suitable for non-stationary systems among which are sampled-data systems and processes with periodically varying coefficients. Computer-controlled continuous-time processes are a very important subset of periodic sampled-data systems which are not treatable using ordinary transfer functions.
Having established the ability of the parametric transfer function to...
The transfer function approach is widely used in classical control theory for its easy handling and physical meaning. Although the use of transfer ...
This monograph studies the design of robust, monotonically-convergent iterative learning controllers for discrete-time systems. It presents a unified analysis and design framework that enables designers to consider both robustness and monotonic convergence for typical uncertainty models, including parametric interval uncertainties, iteration-domain frequency uncertainty, and iteration-domain stochastic uncertainty. The book shows how to use robust iterative learning control in the face of model uncertainty.
This monograph studies the design of robust, monotonically-convergent iterative learning controllers for discrete-time systems. It presents a unifi...
The essence of this work is the control of electromechanical systems, such as manipulators, electric machines, and power converters. The common thread that links together the results presented here is the passivity property, which is at present in numerous electrical and mechanical systems, and which has great relevance in control engineering at this time. Amongst other topics, this monograph covers:
- Euler-Lagrange Systems;
- Mechanical Systems;
- Generalised AC Motors;
- Induction Motor Control;
- Robots with AC Drives; and
- Perspectives and...
The essence of this work is the control of electromechanical systems, such as manipulators, electric machines, and power converters. The common thr...
This monograph presents the fundamentals of global stabilization and optimal control of nonlinear systems with uncertain models. It offers a unified view of deterministic disturbance attenuation, stochastic control, and adaptive control for nonlinear systems. The book addresses a large audience of researchers, students, engineers and mathematicians in the areas of robust and adaptive nonlinear control, nonlinear H... stochastic nonlinear control (including risk-sensitive), and other related areas of control an d dynamical systems theory.
This monograph presents the fundamentals of global stabilization and optimal control of nonlinear systems with uncertain models. It offers a unified v...
The time evol11tion of many physical phenomena in nat11re can be de- scribed by partial differential eq11ations. To analyze and control the dynamic behavior of s11ch systems. infinite dimensional system theory was developed and has been refined over the past several decades. In recent years. stim11lated by the applications arising from space exploration. a11tomated manufact11ring, and other areas of technological advancement, major progress has been made in both theory and control technology associated with infinite dimensional systems. For example, new conditions in the time domain and...
The time evol11tion of many physical phenomena in nat11re can be de- scribed by partial differential eq11ations. To analyze and control the dynamic be...
The purpose of this book is to present a self-contained and coordinated de scription of several design methods for nonlinear control systems, with special emphasis on the problem of achieving stability, globally or on arbitrarily large domains, in the presence of model uncertainties. The book is intended to be a continuation of my earlier book Nonlinear Control Systems, dealing with the fundamentals of the theory of nonlinear control systems, whose third edition was published in 1995. In this respect, it is written in the form of a "second volume" of a single work, and uses a numbering system...
The purpose of this book is to present a self-contained and coordinated de scription of several design methods for nonlinear control systems, with spe...
Digital elements such as signal processors, microcontrollers or industrial PCs are widely used for filtering and control of continuous-time processes or plants. Because of the serial operation mode of these digital elements the continuous time processes cannot be served continuously. That is why continuous-time and discrete-time signals occur simultaneously in systems of this kind. The continuous (real) time also contains the discrete time instants - therefore, a complete and accurate description of such systems in continuous time is pos sible. However, this description proves to be more...
Digital elements such as signal processors, microcontrollers or industrial PCs are widely used for filtering and control of continuous-time processes ...
In the 70+ year history of control theory and engineering, few applications have stirred as much excitement as flow control. The same can probably be said for the general area of fluid mechanics with its much longer history of several centuries. This excitement is understandable and justified. Turbulence in fluid flows has been recognized as the last great unsolved problem of classical 1 physics and has driven the careers of many leading mathematicians of the 20th century.2 Likewise, control theorists have hardly ever come across a problem this challenging. The emergence of flow control as an...
In the 70+ year history of control theory and engineering, few applications have stirred as much excitement as flow control. The same can probably be ...
Problems, methods and algorithms of decision making based on an uncertain knowledge now create a large and intensively developing area in the field of knowledge-based decision support systems. The main aim of this book is to present a unified, systematic description of analysis and decision problems in a wide class of uncertain systems described by traditional mathematical models and by relational knowledge representations. A part of the book is devoted to new original ideas introduced and developed by the author: the concept of uncertain variables and the idea of a learning process...
Problems, methods and algorithms of decision making based on an uncertain knowledge now create a large and intensively developing area in the field of...
