Iterative Adaptive Dynamic Programming for Self-learning Optimal Control (Series on Deep Learning Neural Networks)

This unique book introduces the iterative adaptive dynamic programming theory from the control systems perspectives, with the most recent results of iterative adaptive dynamic programming methods. Advanced theoretical analysis and some practical applications of iterative adaptive dynamic programming are provided. Furthermore, the practical applications in residential energy systems are also highlighted, showing the good performance of the iterative adaptive dynamic programming methods.The useful reference text benefits professionals, researchers, academics, graduate and undergraduates students in control engineering.