This book provides a systematic treatment of a general and streamlined design procedure for neural network (NN) control schemes. Stability proofs and transient performance guarantees are presented which illustrate the superior efficiency of the NN controllers over other design techniques when the system is unknown. Four main schemes for advanced neural network control are addressed in this book, including NN model-based control, direct adaptive NN control - including state feedback, observer design and decentralized control, adaptive backstopping NN control, adaptive NN control of robot manipulators.

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