Owing to the comprehensive effects of dimensional disaster, interpolation error, and Markov
characteristics of the controlled objects, the traditional dynamic programming algorithm has …

Maximizing the performance of a system without reference over an infinite horizon is a
challenging problem for iterative control tasks. This paper introduces a Value Approximator …

Major challenges of controlling physical human–robot interaction (pHRI)-oriented modular
robot manipulator (MRM) include performance optimization and solving the coupling effect …

This paper analyzes decentralized/centralized event/self-triggered schemes respectively
according to a large-scale interconnected system with state limitation and uncertain …

This paper studies the optimal control problem for discrete-time nonlinear systems and an
approximate dynamic programming-based Model Predictive Control (MPC) scheme is …

With the continuous development of the national economy and scientific productivity, urban
construction and people's living standards are also getting higher and higher. Although …