Neural Network Control of Nonlinear Discrete-Time Systems

Discover the cutting-edge techniques in control engineering with Neural Network Control of Nonlinear Discrete-Time Systems by Jagannathan Sarangapani. Published by Taylor & Francis Inc in 2006, this comprehensive hardback spans an impressive 622 pages and delves into the fascinating intersection of biology and technology.

This insightful book presents modern control strategies that leverage the parallelism and adaptive capabilities of biological nervous systems. It meticulously covers topics such as actuator nonlinearities and strict feedback in nonlinear systems, progressing to nonstrict feedback, system identification, and innovative optimal control methods utilizing the Hamilton-Jacobi-Bellman formulation.

Whether you are a student, researcher, or professional in the fields of electronics, engineering, or mathematics, this essential resource will enhance your understanding of intelligent control systems and nonlinear control theory. Don't miss the opportunity to elevate your expertise with this authoritative guide.