Advanced Methods in Adaptive Control for Industrial Applications

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Table of Contents

Adaptation of LQG control design to engineering needs.- Adaptation and robustness.- Digital controllers for ŠKODA rolling mills.- An expert system as a controller and its closed loop behaviour.- H? robust generalized minimum variance self-tuning controller.- Gnostical approach to robust control.- True digital control: A unified design procedure for linear sampled data control systems.- Polynomial LQ synthesis for self-tuning control.- Numerical analysis of diophantine equations.- Simple predictive LQ controller design.- Toward higher software effectiveness in the field of adaptive control.- Novel control architectures.- Process estimation: Linear adaptive algorithms and neural networks.- Towards more credible self-tuners ....- Theory and implementation of paper cross profile adaptive control.- Case studies in application of shastic control theory.- Design of a multivariable self-tuning controller for a class of distributed parameter systems.- Intelligent parallel control.- Signal-based algorithms for self-tuning regulators easily implementable on single-board microcomputers.- Self-tuning control of robot manipulators.- Preliminary tuning of selftuners.- Adaptive control algorithm for time-variant processes.- Algorithms for conversion between the continuous-time models of linear systems and the discrete-time ones.

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