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Gain-scheduling model predictive control of a Fresnel collector field

Control Engineering Practice, 2019
Model predictive control strategies have been applied successfully when controlling solar plants. If the control algorithm uses a linear model associated only to an operating point, when the plant is working far from the design conditions, the ...
A. Gallego   +3 more
semanticscholar   +1 more source

Gain‐scheduling MPC of nonlinear systems

International Journal of Robust and Nonlinear Control, 2003
AbstractPredictive control of nonlinear systems is addressed by embedding the dynamics into an LPV system and by computing robust invariant sets. This mitigates the on‐line computational burden by transferring most of the computations off‐line.
Chisci, Luigi   +2 more
openaire   +2 more sources

Nonlinear PI and gain scheduling

Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207), 1998
A general procedure is proposed for nonlinear IMC and PID controllers for single-input single-output nonlinear systems. The nonlinear IMC and PID controllers are designed to force the system output to track a desired linear closed-loop trajectory, which is tunable via a single, physically meaningful parameter: the trajectory filter time constant.
null Jiawen Dong, C.B. Brosilow
openaire   +1 more source

Tailored Dynamic Gain-Scheduled Control

Journal of Guidance, Control, and Dynamics, 2006
This paper advances the theoretical basis and application of dynamic gain-scheduled control, a novel method for the control of nonlinear systems, to an aircraft model. Extensions of this method involving multivariable gain scheduling and continuation tailoring are developed.
Jones, CDC   +2 more
openaire   +2 more sources

Robust normalised LPV gain scheduling

Proceedings of 35th IEEE Conference on Decision and Control, 2002
This paper demonstrate some robustness guarantees to the linear parameter varying (LPV) stabilisation. The idea is to use the inherent robustness to unstructured perturbations facilitated by using the normalised plants. Some parameter dependent weights might be introduced in an open loop design to improve the achieved robustness/performance levels. The
H.M.H. El-Zolaidi, I.M. Jaimoukha
openaire   +1 more source

Passive gain-scheduling filtering for jumping linear parameter varying systems with fading channels based on the hidden Markov model

J. Syst. Control. Eng., 2018
This work is aimed to address the passive gain-scheduling filtering problem for Markov jump linear parameter varying systems with fading channels. A hidden Markov process is employed to describe mode information exchange between the system and the ...
Liang Shen   +3 more
semanticscholar   +1 more source

Model predictive-based reset gain-scheduling dynamic control law for polytopic LPV systems.

ISA transactions, 2018
This paper proposes a novel systematic approach for designing a reset gain-scheduling dynamic controller based on a model predictive method for a class of nonlinear systems represented by polytopic linear parameter varying models.
N. Vafamand, A. Khayatian
semanticscholar   +1 more source

Dynamic gain scheduled process control

Chemical Engineering Science, 1998
Abstract Gain scheduled control techniques are widely used in the chemical and aerospace industries but suffer from the limitation to slowly changing scheduling variable (ξ). A dynamic gain scheduling (DGS) algorithm is proposed to specifically address this constraint.
Francis J. Doyle III   +2 more
openaire   +1 more source

Gain-Scheduled Observers Using Inexact Scheduling Parameters

IFAC Proceedings Volumes, 2012
Abstract This note addresses the design problem of Gain-Scheduled (GS) observers for discrete-time Linear Parameter-Varying (LPV) systems via Parameter-Dependent Lyapunov Functions (PDLFs). We give a sufficient condition for our problem in terms of Parameter-Dependent Linear Matrix Inequalities (PDLMIs).
openaire   +1 more source

Gain-scheduled PID controller design

Journal of Process Control, 2013
Gain scheduling (GS) is one of the most popular approaches to nonlinear control design and it is known that GS controllers have a better performance than robust ones. Following the terminology of control engineering, linear parameter-varying (LPV) systems are time-varying plants whose state space matrices are fixed functions of some vector of varying ...
Vojtech Veselý, Adrian Ilka
openaire   +1 more source

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