A New Robust LMI-based MPC for Compressor Surge Instability in the Presence of Actuator Saturation and Pipe EffectsCompressorSurge instabilityPiping acousticLinear matrix inequalityUncertaintyCompressor is the most important tool for compression and fluid transfer in general and industrial uses, and the ...
A linear matrix inequality (LMI)-based robust model predictive control (MPC) is applied to a continuous stirred-tank reactor for the polymerization of methyl methacrylate (MMA). The polytopic model is constructed to predict the responses to various control input sequences by using Jacobians of unc...
Distributed MPC design decomposes a centralized optimization problem into a number of subsystem-based problems of smaller size and thus results in a lower computational complexity. Considered here is the class of distributed parameter systems, whose underlying temporal and spatial dynamics are governed by...
This paper presents a newmodel predictive control (MPC) scheme for linear constrained discrete-time periodic systems. In each period of the system, a new periodic state feedback control law is computed via a convex optimization problem that minimizes an upper bound on an infinite horizon cost fun...
A linear matrix inequality (LMI)-based robust model predictive control (MPC) is applied to a continuous stirred-tank reactor for the polymerization of methyl methacrylate (MMA). The polytopic model is constructed to predict the responses to various control input sequences by using Jacobians of unc...
The utilization of a linear matrix inequality-based optimization approach is prevalent in the field of control owing to its systematic design and robustness capabilities. This paper introduces a robust optimal current control strategy for a single-phase.
Gros Safe reinforcement learning using robust mpc IEEE Trans. Automat. Contr., 66 (8) (2021), pp. 3638-3652 CrossrefView in ScopusGoogle Scholar Cited by (3) Direct Data-Driven Robust Predictive Control for Lur'e Systems based on Tailored Data Sampling 2024, IFAC-PapersOnLine Show abstract ...
The multi-variable PI controller and two single-variable PI controllers are designed for the TSTPE with actuator dynamics based on Linear Matrix Inequality (LMI), respectively, which is derived from static output feedback and pole placement condition. The step responses show that due to the ...
LMI-based robust model predictive control evaluated on an industrial CSTR model In this paper, robust model predictive control (MPC) is studied for a general class of uncertain linear systems with structured time-varying uncertainties. The controller design is characterized as an optimization problem ...
And the constrained control input of the considered system is solved by convex optimization based on MPC involving LMIs. The simulation results verified the effectiveness of the proposed method. It is shown that, based on LMIs, it is easy to get the MPC for the USV with input constraints. ...