Model predictive control (MPC) has demonstrated exceptional success for the high-
performance control of complex systems. The conceptual simplicity of MPC as well as its …

In the past ten years many Stochastic Model Predictive Control (SMPC) algorithms have
been developed for systems subject to stochastic disturbances and model uncertainties …

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 …

Two stochastic model predictive control algorithms, which are referred to as distributionally
robust model predictive control algorithms, are proposed in this article for a class of discrete …

In this paper, a new finite-horizon H∞ control problem is considered for a class of time-
varying systems with stochastic nonlinearities, measurements degradation and chance …

Many practical applications in control require that constraints on the inputs and states of the
system are respected, while some performance criterion is optimized. In the presence of …

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 …

The technical note develops a receding horizon control strategy to guarantee closed-loop
convergence and feasibility in respect of soft constraints. Earlier results addressed the case …

In this paper we propose an output-feedback Model Predictive Control (MPC) algorithm for
linear discrete-time systems affected by a possibly unbounded additive noise and subject to …

We present a stochastic model predictive control (MPC) method for linear discrete-time
systems subject to possibly unbounded and correlated additive stochastic disturbance …