Kategoria BISAC: Technology & Engineering >> Automation

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.

Process Control introduces an emerging area in process control - control system analysis and design based on the concept of passive systems. Passive systems are a class of processes that dissipate certain types of physical or virtual energy, defined by Lyapunov-like functions. Passivity and associated stability conditions form one of the cornerstones in control theory and have recently begun to be applied in process control. Defined as an input-output property, the concept of passivity implies stability conditions for interconnected systems. Passive systems are minimum...

Robot Motion Control 2007 presents very recent results in robot motion and control. Forty-one short papers have been chosen from those presented at the sixth International Workshop on Robot Motion and Control held in Poland in June 2007. The authors of these papers have been carefully selected and represent leading institutions in this field.

This is a unified collection of important recent results for the design of robust controllers for uncertain systems, primarily based on H8 control theory or its stochastic counterpart, risk sensitive control theory. Two practical applications are used to illustrate the methods throughout.

Hydraulic Servo-systems details the basic concepts of many recent developments of nonlinear identification and nonlinear control and their application to hydraulic servo-systems: developments such as feedback linearisation and fuzzy control. The principles, benefits and limitations associated with standard control design approaches such as linear state feedback control, feedforward control and compensation for static nonlinearities are also reviewed, because of their continued practical importance.

Featuring:

- theoretical (physically based) modelling of hydraulic...

Adaptive control theory has developed significantly over the past few years; self-tuning control represents one branch of adaptive control that has been successfully applied in practice. Controller design requires knowledge of the plant to be controlled which is not always readily accessible; self-tuning controllers gather such information during normal operation and adjust controller designs on-line as required.

Digital Self-tuning Controllers presents you with a complete course in self-tuning control, beginning with a survey of adaptive control and the formulation of...