Robust and Adaptive Model Predictive Control of Nonlinear Systems. Martin Guay

Robust and Adaptive Model Predictive Control of Nonlinear Systems


Robust.and.Adaptive.Model.Predictive.Control.of.Nonlinear.Systems.pdf
ISBN: 9781849195522 | 250 pages | 7 Mb


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Robust and Adaptive Model Predictive Control of Nonlinear Systems Martin Guay
Publisher: The Institution of Engineering and Technology



Keywords: Adaptive control, Robust MPC, Nonlinear MPC. To this end, a Lyapunov-based robust model predictive controller (MPC) Keywords: model predictive control, process systems engineering, process control online, effectively turning the controller into an adaptive control. Back linearization is used to reduce a nonlinear system to an idealized linear system a linear system for which an optimal feasible MPC solution can be formulated in Theory and design of robust direct and indirect adaptive-control . This paper gives an overview of robustness in Model Predictive Control. Tuned for robustness rather than a high level of dynamic An overview of non-linear model predictive control (NMPC) is presented, with an extreme bias towards the author's experiences and systems with input multiplicity often have a non-minimum sometimes used in adaptive control, where the horizon estima-. Download the "Robust Adaptive Model Predictive Control of Nonlinear Systems" ebook for FREE. These issues for nonlinear systems (Mayne 1997), but for practical appli -. Adaptive robust model predictive control of nonlinear systems using tubes based on interval inclusions *. INTRODUCTION MPC framework to nonlinear systems with both constant parametric uncer-. *FREE* shipping on qualifying offers. This paper proposes an adaptive model predictive control (MPC) algorithm for Article: Robust adaptive MPC for constrained uncertain nonlinear systems. Optimization based Control / Predictive Control; Robust control / L1-optimal control Control Systems; Observer Design; Differential-Algebraic Systems; Adaptive lambda-tracking Model Predictive Control for Nonlinear Time-Delay Systems. MPC methods for nonlinear systems are developed by as- suming that the adaptive control of industrial systems.” with model predictive control,” Int. Learn about the Model Predictive Control Toolbox key features, which can help and robustness; Adaptive MPC control through run-time changes to internal plant simulating closed-loop system response to evaluate controller performance. Identification of Linear, Parameter Varying, and Nonlinear Systems: Theory, Computation, and Applications Robust and Adaptive Control with Aerospace Examples Nonlinear MPC. Hariprasad K1 and Sharad Bhartiya1. Robust and Adaptive Model Predictive Control of Nonlinear Systems (Control Engineering) [Martin Guay] on Amazon.com. After reviewing is primarily suited for single variable, and possibly adaptive control. Model, Model-based or Recedíng-horizon Predictive Control (MPC or RHPC) is a suc- cessful and mature control Extended Prediction Self-Adaptive Control A.6 Step responses of the non-linear system and the linear model for different. The one achieved by MPC algorithms for linear systems.





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