This article presents a systematic overview of stable stochastic predictive control, its underlying concepts, and a transmission protocol
This article presents a systematic overview of stable stochastic predictive control, its underlying concepts, and a transmission protocol which does not ...
We study a predictive control formulation for discrete-time non-linear plant models where controller output data is transmitted over an unreliable communication ...
This article presents a systematic overview of stable stochastic predictive control, its underlying concepts, and a transmission protocol which does not ...
This page is a summary of: Stable stochastic predictive controller under unreliable up-link , June 2016, Institute of Electrical & Electronics Engineers (IEEE),
A stochastic model predictive controller for systems with unreliable communications. DE Quevedo, PK Mishra, R Findeisen, D Chatterjee. IFAC-PapersOnLine 48 (23) ...
Nov 22, 2018 · One of the easiest way to implement stochastic nonlinear MPC is using Generalized polynomial chaos methods and the following paper can be simulated easily.
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What is model predictive control for stochastic systems?
This paper proposes tractable and recursively feasible optimization-based controllers for stochastic linear systems with bounded controls that ensure ...
Mishra, Debasish Chatterjee, Daniel E. Quevedo, Stable stochastic predictive controller under unreliable up-link, European Control Conference (ECC), 2016.
A stochastic model predictive controller for systems with unreliable communications. DE Quevedo, PK Mishra, R Findeisen, D Chatterjee. IFAC-PapersOnLine 48 (23) ...