This paper reviews model predictive control (MPC) and its wide applications to both single
and multiple autonomous ground vehicles (AGVs). On one hand, MPC is a well-established …

This paper presents a new model-based event-triggered predictive control (MB-ETPC)
protocol to stabilize networked control systems (NCSs) subject to denial-of-service (DoS) …

In this article, we present an intermittent framework for safe reinforcement learning (RL)
algorithms. First, we develop a barrier function-based system transformation to impose state …

In this paper, an event-triggered distributed output feedback model predictive control
scheme for the nonlinear disturbed multiagent systems with sensor–controller channel false …

We solve output-and state-consensus problems for multiagent high-order systems in
feedback form. We consider systems interconnected over arbitrary (connected) undirected …

This article studies the robust model predictive control of heterogeneous multi-agent
systems with polytopic uncertainties and time delay. Moreover, some constraints on the …

Model predictive control (MPC) is a popular optimal control approach that can explicitly deal
with system constraints. However, its high computational cost motivates researches on …

This paper investigates a Lyapunov-based Model Predictive Control (LMPC) for solving the
output consensus problem of nonlinear heterogeneous Multi-Agent Systems (MASs) subject …

In this article, we consider a game-theoretic framework for cyber-physical systems, where a
defender develops a mitigation strategy against an intelligent attacker who exploits the …

This paper investigates the consensus of distributed model predictive control for n-
dimensional linear multi-agent systems with uncertain and heterogeneous dynamics, with …