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Constrained Optimal Control of Linear and Hybrid Systems

TLDR
Constrained Optimal Control for Hybrid Systems and Ball and Plate Control and Reducing On-line Complexity.
Abstract
Multiparametric Programming- Multiparametric Programming: a Geometric Approach- Optimal Control of Linear Systems- Constrained Finite Time Optimal Control- Constrained Infinite Time Optimal Control- Receding Horizon Control- Constrained Robust Optimal Control- Reducing On-line Complexity- Optimal Control of Hybrid Systems- Hybrid Systems- Constrained Optimal Control for Hybrid Systems- Applications- Ball and Plate- Traction Control

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Citations
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Book ChapterDOI

Multi-Parametric Toolbox (MPT)

TL;DR: A Multi-Parametric Toolbox (MPT) for computing optimal or suboptimal feedback controllers for constrained linear and piecewise affine systems is under development at ETH.
Journal ArticleDOI

Analysis and synthesis of switched linear control systems

TL;DR: This paper provides a concise and timely survey on analysis and synthesis of switchedlinear control systems, and presents the basic concepts and main properties of switched linear systems in a systematic manner.
Journal ArticleDOI

Optimization over state feedback policies for robust control with constraints

TL;DR: It is shown that the class of admissible affine state feedback control policies with knowledge of prior states is equivalent to the classOf admissible feedback policies that are affine functions of the past disturbance sequence, which implies that a broad class of constrained finite horizon robust and optimal control problems can be solved in a computationally efficient fashion using convex optimization methods.
Journal ArticleDOI

Model Predictive Control for the Operation of Building Cooling Systems

TL;DR: This brief addresses real-time implementation and feasibility issues of the MPC scheme by using a simplified hybrid model of the system, a periodic robust invariant set as terminal constraints, and a moving window blocking strategy.
Book

Decentralized Receding Horizon Control: For Large-scale Dynamically Decoupled Systems

TL;DR: An optimal control problem for a set of dynamically decoupled systems where the cost function and constraints couple the dynamical behavior of the systems is formulated.
References
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Book

Dynamic Programming and Optimal Control

TL;DR: The leading and most up-to-date textbook on the far-ranging algorithmic methododogy of Dynamic Programming, which can be used for optimal control, Markovian decision problems, planning and sequential decision making under uncertainty, and discrete/combinatorial optimization.
Journal ArticleDOI

Survey Constrained model predictive control: Stability and optimality

TL;DR: This review focuses on model predictive control of constrained systems, both linear and nonlinear, and distill from an extensive literature essential principles that ensure stability to present a concise characterization of most of the model predictive controllers that have been proposed in the literature.
Book

Integer and Combinatorial Optimization

TL;DR: This chapter discusses the Scope of Integer and Combinatorial Optimization, as well as applications of Special-Purpose Algorithms and Matching.
Book

Nonlinear Programming: Theory and Algorithms

TL;DR: The book is a solid reference for professionals as well as a useful text for students in the fields of operations research, management science, industrial engineering, applied mathematics, and also in engineering disciplines that deal with analytical optimization techniques.
Book

Predictive Control With Constraints

TL;DR: A standard formulation of Predictive Control is presented, with examples of step response and transfer function formulations, and a case study of robust predictive control in the context of MATLAB.
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