Model predictive control (MPC) has established itself as a promising control methodology in
power electronics. This survey paper highlights the most relevant MPC techniques for power …

Model-based design is well recognized in industry as a systematic approach to the
development, evaluation, and implementation of feedback controllers. Model predictive …

This article studies the hierarchical sliding-mode surface (HSMS)-based adaptive optimal
control problem for a class of switched continuous-time (CT) nonlinear systems with …

This paper is concerned with the security control problem with quadratic cost criterion for a
class of discrete-time stochastic nonlinear systems subject to deception attacks. A definition …

In this original book on model predictive control (MPC) for power electronics, the focus is put
on high-power applications with multilevel converters operating at switching frequencies …

In this article, the tracking control problem of event-triggered multigradient recursive
reinforcement learning is investigated for nonlinear multiagent systems (MASs). Attention is …

At publication, The Control Handbook immediately became the definitive resource that
engineers working with modern control systems required. Among its many accolades, that …

Explicit model predictive control (MPC) addresses the problem of removing one of the main
drawbacks of MPC, namely the need to solve a mathematical program on line to compute …

This paper studies the online adaptive optimal controller design for a class of nonlinear
systems through a novel policy iteration (PI) algorithm. By using the technique of neural …

The residential sector is currently one of the major contributors to the global energy balance.
However, the energy demand of residential users has been so far largely uncontrollable and …