Control Theory

Description:

The book reviews development in the following fields: a non-mathematical introduction of control concepts; control design ideas; automatic feedback control loop synthesis; Laplace transform; frequency response methods; mathematical modelling; control design; linearisation; multivariable linear processes; discrete time control; state estimation; nonlinearity; optimisation; distributed systems; robust control design; neural networks; fuzzy logic; genetic algorithms; learning systems; intelligent systems; control theory development and artificial intelligence technique.

subjects: Control system synthesis,  Control nonlinearities,  Genetic algorithms,  Learning systems,  Frequency response,  Machine learning,  Control theory,  Distributed control,  Neural nets,  Laplace transformation,  Nonlinear control theory,  Control,  Optimisation,  Feedback (Electronics),  Artificial intelligence,  Frequency response (Dynamics),  Systems engineering,  Optimisation .,  Discrete systems,  Feedback,  Robust control,  Multivariable systems,  Quasilinearization,  Linearisation techniques,  Estimation theory,  System theory,  Neural networks (Computer science),  Laplace transforms,  Digital control systems,  State estimation,  Fuzzy logic