CONTROLLER design is more troublesome in aerospace systems due to, inter alia, diversity
of mission platforms, convoluted nonlinear dynamics, predominantly strict mission and …

This paper presents a review on the development and application of model predictive
control (MPC) for autonomous intelligent mechatronic systems (AIMS). Starting from the …

In this article, we present a nonlinear robust model predictive control (MPC) framework for
general (state and input dependent) disturbances. This approach uses an online …

The robust model predictive control for constrained linear discrete time systems is solved
through the development of a homothetic tube model predictive control synthesis method …

An output feedback stochastic model predictive control is proposed in this article for a class
of stochastic linear discrete-time systems, in which the uncertainties from external …

This paper develops a parameterized tube model predictive control (MPC) synthesis
method. The most relevant novel feature of our proposal is the online use of a single …

In this paper, we discuss the model predictive control algorithms that are tailored for
uncertain systems. Robustness notions with respect to both deterministic (or set based) and …

For the last 30 years the theory and technology of model predictive control (MPC) have been
developed rapidly. However, facing the increasing requirements on the constrained …

This paper is concerned with tube-based model predictive control (MPC) for both linear and
nonlinear, input-affine continuous-time dynamic systems that are affected by time-varying …

摘要30 多年来, 模型预测控制(Model predictive control, MPC) 的理论和技术得到了长足的发展,
但面对经济社会迅速发展对约束优化控制提出的不断增长的要求, 现有的模型预测控制理论和 …