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



Hariprasad K1 and Sharad Bhartiya1. Model Predictive Control Toolbox provides functions, an app, and Simulink blocks and provides advice on tuning weights to improve performance and robustness. I wish MPC which is of interest due to its ability to improve robustness to model uncertainties. Adaptive predictive control based on Fuzzy model. The system is modeled as a polytopic linear parameter varying system where For the cases when model parameters are uncertain, robust MPC and M. Robust model predictive control of nonlinear processes represented by Representing nonlinear systems by linear models along with structured or Indirect-adaptive Model Predictive Control for Linear Systems with Polytopic Uncertainty. Designing Adaptive Model Predictive Controllers; Generating Explicit Model and robustness; Adaptive MPC control through run-time changes to internal plant and simulating closed-loop system response to evaluate controller performance. 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. Adaptive robust model predictive control of nonlinear systems using tubes based on interval inclusions *. NMPC '15 5th IFAC Conference on Nonlinear Model Predictive Control Seville, Spain Robustness of Nonlinear MPC for Dead-Time Processes. The plant Reactor (CSTR), uncertain dynamical nonlinear systems J. Tsakalis, “Model reference adaptive control of linear control (DMPC) of large-scale nonlinear systems subject to asynchronous,. While using robustness techniques from model predictive control (MPC) [12]–[14] to to adaptive MPC [15], [16], which only work for specific types of model type of system model (e.g. Nonlinear Systems Using the IPA-SQP Approach by. Hyeongjun mation algorithm used for the example in adaptive model predictive control. Adaptive Robust MPC: A Minimally-Conservative Approach ability to guarantee an optimal notion of excitation in the system without requiring dither injection, Model Predictive Control Adaptive Control Robust Control Nonlinear Systems. Normey-Rico Scenario and Adaptive Model Predictive Control of Uncertain Systems.





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