The book presents recent advances in the theory of neural control for discrete-time nonlinear systems with multiple inputs and multiple outputs. The simulation

The book presents recent advances in the theory of neural control for discrete-time nonlinear systems with multiple inputs and multiple outputs. The simulation

Neural networks have become a well-established methodology as exempli?ed by their applications to identi?cation and control of general nonlinear and complex sys

Discrete-Time Inverse Optimal Control for Nonlinear Systems proposes a novel inverse optimal control scheme for stabilization and trajectory tracking of discret

This book provides a decentralized approach for the identification and control of robotics systems. It also presents recent research in decentralized neural con