Control Theory with Applications to Naval Hydrodynamics
by R. Timman
Number of pages: 84
The lectures present an introduction to modern control theory. Calculus of variations is used to study the problem of determining the optimal control for a deterministic system without constraints and for one with constraints. The method of dynamic programming is also used to solve the unconstrained control problem. Stochastic systems are introduced, and the Kalman-Bucy filter is derived.
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by Tao Zheng - InTech
Model Predictive Control refers to a class of control algorithms in which a dynamic process model is used to predict and optimize process performance. From lower request to complicated process plants, MPC has been accepted in many practical fields.
by Panos J. Antsaklis, Kevin M. Passino (eds) - Kluwer Academic Publishers
An introduction to the field of intelligent control with a broad treatment of topics by several authors (including hierarchical / distributed intelligent control, fuzzy control, expert control, neural networks, planning systems, and applications).
by S. Boyd, L. El Ghaoui, E. Feron, V. Balakrishnan
The authors reduce a wide variety of problems arising in system and control theory to a handful of optimization problems that involve linear matrix inequalities. These problems can be solved using recently developed numerical algorithms.
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The book gives the major results, techniques of analysis and new directions in adaptive systems. It presents deterministic theory of identification and adaptive control. The focus is on linear, continuous time, single-input single output systems.