The recently proposed parameterized tube model predictive control (MPC) exploited linearity to separate the treatment of future disturbances in robust model predictive control, thereby gaining significant computational advantages while superseding the state-of-the-art closed-loop strategies. The approach used an upper triangular parameterized tube prediction structure and a linear cost. The current paper proposes an extension of the tube prediction structure, which is fully parameterized and allows for the use of more general cost functions. The introduced parameterization generalizes the one associated with parameterized tube MPC (PTMPC), while it shares its strong system theoretic properties as well as its computational tractability. Copy...
This paper is concerned with tube-based model predictive control (MPC) for both linear and nonlinear...
Tube-based model predictive control (MPC) is a variant of MPC that is suitable for constrained linea...
We propose an approximate explicit model predictive control (MPC) scheme based on ideas in robust MP...
This paper develops a parameterized tube model predictive control (MPC) synthesis method. The most r...
Reaching a sensible compromise between computational tractability and degree of optimality still rem...
Robust tube-based model predictive control (MPC) methods address constraint satisfaction by leveragi...
This paper presents a heterogeneously parameterized tube-based model predictive control (MPC) design...
A modification of the Parameterized Tube Model Predictive Control (PTMPC) strategy for linear system...
Recently introduced parameterized tube model predictive control (PTMPC) supersedes the robust model ...
Recently, a technical note [4] ensured recursive feasibility in robust model predictive control with...
This paper presents a stabilizing tube-based MPC synthesis for LPV systems. We employ terminal const...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2...
An adaptive Model Predictive Control (adaptive MPC) strategy is proposed for linear systems with con...
A robust tube-based Model Predictive Control (MPC) strategy is proposed for linear systems with mult...
In real-world driving scenarios, the model mismatch can severely impair the robustness of the tracki...
This paper is concerned with tube-based model predictive control (MPC) for both linear and nonlinear...
Tube-based model predictive control (MPC) is a variant of MPC that is suitable for constrained linea...
We propose an approximate explicit model predictive control (MPC) scheme based on ideas in robust MP...
This paper develops a parameterized tube model predictive control (MPC) synthesis method. The most r...
Reaching a sensible compromise between computational tractability and degree of optimality still rem...
Robust tube-based model predictive control (MPC) methods address constraint satisfaction by leveragi...
This paper presents a heterogeneously parameterized tube-based model predictive control (MPC) design...
A modification of the Parameterized Tube Model Predictive Control (PTMPC) strategy for linear system...
Recently introduced parameterized tube model predictive control (PTMPC) supersedes the robust model ...
Recently, a technical note [4] ensured recursive feasibility in robust model predictive control with...
This paper presents a stabilizing tube-based MPC synthesis for LPV systems. We employ terminal const...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2...
An adaptive Model Predictive Control (adaptive MPC) strategy is proposed for linear systems with con...
A robust tube-based Model Predictive Control (MPC) strategy is proposed for linear systems with mult...
In real-world driving scenarios, the model mismatch can severely impair the robustness of the tracki...
This paper is concerned with tube-based model predictive control (MPC) for both linear and nonlinear...
Tube-based model predictive control (MPC) is a variant of MPC that is suitable for constrained linea...
We propose an approximate explicit model predictive control (MPC) scheme based on ideas in robust MP...