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"Illustrates the analysis, behavior, and design of linear control systems using classical, modern, and advanced control techniques. Covers recent methods in system identification and optimal, digital, adaptive, robust, and fuzzy control, as well as stability, controllability, observability, pole placement, state observers, input-output decoupling, and model matching."
Provides a thorough introduction to the properties of linear, time-invariant models of dynamical systems, as required for further work in feedback control system design, power system design and analysis, communications, signal processing, robotics, and simulation. The state-space model is used throughout, since it is a fundamental conceptual tool, although the background analysis applies to other models. Modelling and stability of general nonlinear systems is introduced, with the detailed analysis concentrating on LTI systems.
This book introduces an original fractional calculus methodology (the infinite state approach) which is applied to the modeling of fractional order differential equations (FDEs) and systems (FDSs). Its modeling is based on the frequency distributed fractional integrator, while the resulting model corresponds to an integer order and infinite dimension state space representation. This original modeling allows the theoretical concepts of integer order systems to be generalized to fractional systems, with a particular emphasis on a convolution formulation. With this approach, fundamental issues such as system state interpretation and system initialization – long considered to be major theoretical pitfalls – have been solved easily. Although originally introduced for numerical simulation and identification of FDEs, this approach also provides original solutions to many problems such as the initial conditions of fractional derivatives, the uniqueness of FDS transients, formulation of analytical transients, fractional differentiation of functions, state observation and control, definition of fractional energy, and Lyapunov stability analysis of linear and nonlinear fractional order systems. This second volume focuses on the initialization, observation and control of the distributed state, followed by stability analysis of fractional differential systems.
The primary function of this book is to serve as a textbook on linear systems and control. It is aimed principally at undergraduates taking courses in Electrical Engineering, Electronics or Mechanical Engineering who are in the penultimate and final years of an Honours degree. Because the text is closely integrated with the use of a widely available software package, it will also be of interest and use to a more expert audience with a control background, but who may not be familiar with these invaluable tools. Finally, it may be of use to others who may not be control specialists, but who need to acquire a background of control for other purposes. Some of the material has been used successfully for such a purpose with an M.Sc programme for Power Engineering students.
Theory of Adaptive Structures provides the basic theory for controlling adaptive structures in static and dynamic environments. It synthesizes well-established theories on modern control as well as statics and dynamics of deformable bodies. Discussions concentrate on the discrete parameter adaptive structures dealing with actuator placement, actuator selection, and actuation computation problems - keeping these structures at close proximity of any chosen nominal state with the least energy consumption. An introduction to the distributed parameter adaptive structures is also provided. The book follows that modern trend in research and industry striving to incorporate intelligence into engineered products through microprocessors that are becoming smaller, faster, and cheaper at astounding rates. Not using them in engineered products may become an enormous liability. Resulting from the advances in materials technology on sensors and actuator technologies as well as the availability of very powerful and reliable microprocessors, there is an ever-increasing interest in actively controlling the behavior of engineering systems. Engineers and engineering scientists must revive and broaden their activities to maximize applications for predicting and controlling the behavior of deformable bodies. Topics include: An introduction to adaptive structures Incremental excitation-response relations in static and dynamic cases Active control of response in static case Statically determinate adaptive structures Statically indeterminate adaptive structures Active vibration control for autonomous and non-autonomous cases Active control against wind Active control against seismic loads Distributed parameter adaptive structures The technology of adaptive structures has created an environment where the analysis, not the computation, of structural response - du