Results 31 to 40 of about 1,079,127 (295)

Robust constrained model predictive control based on parameter-dependent Lyapunov functions [PDF]

, 2008
The problem of robust constrained model predictive control (MPC) of systems with polytopic uncertainties is considered in this paper. New sufficient conditions for the existence of parameter-dependent Lyapunov functions are proposed in terms of linear ...
B. Pluymers, D. Rees, D. Q. Mayne, F. Cuzzola, G. P. Liu, H. Tuan, J. Chen, J. C. Geromel, K.  Kemih, L. Xie, M. C. Oliveira de, M. C. Oliveira de, M. V. Kothare, P. Shi, P. P. Khargonekar, S. C. Jeong, T. Perezn, T.  Sato, W. J. Mao, Y. I. Lee, Yuanqing Xia, Z. Wan   +21 more
core   +1 more source

Control of linear parameter-varying systems using B-splines [PDF]

2016 IEEE 55th Conference on Decision and Control (CDC), 2016
This paper presents a novel approach to efficiently solve parameter-dependent (PD) linear matrix inequality (LMI) problems for, amongst others, linear parameter-varying (LPV) control design. Typically, stability and performance is guaranteed by finding a PD Lyapunov function such that a PD LMI is feasible on a parameter domain.
Hilhorst, Gijs, Lambrechts, Erik, Pipeleers, Goele   +2 more
openaire   +2 more sources

LMI–Based Robust Control of Uncertain Nonlinear Systems via Polytopes of Polynomials

International Journal of Applied Mathematics and Computer Science, 2019
This investigation is concerned with robust analysis and control of uncertain nonlinear systems with parametric uncertainties. In contrast to the methodologies from the field of linear parameter varying systems, which employ convex structures of the ...
Sánchez Marcelino, Bernal Miguel
doaj   +1 more source

Stability of Linear Parameter Varying and Linear Switching Systems [PDF]

PAMM, 2003
AbstractWe consider stability of families of linear time‐varying systems, that are determined by a set of time‐varying parameters which adhere to certain rules. The conditions are general enough to encompass on the one hand stability questions for systems that are frequently called linear parameter varying systems in the literature and on the other ...
openaire   +1 more source

Interval Prediction for Continuous-Time Systems with Parametric Uncertainties [PDF]

, 2019
The problem of behaviour prediction for linear parameter-varying systems is considered in the interval framework. It is assumed that the system is subject to uncertain inputs and the vector of scheduling parameters is unmeasurable, but all uncertainties ...
Efimov, Denis, Leurent, Edouard, Perruquetti, Wilfrid, Raïssi, Tarek   +3 more
core   +4 more sources

A recursive identification algorithm for linear discrete periodic systems

IET Control Theory & Applications, 2023
The parameter identification problem of linear discrete period time‐varying (LDPV) systems is studied in this paper and a two‐step identification algorithm based on the recursive least squares principle is proposed.
Lingling Lv, Bingqian Zheng, Jinhua Zhang, Lei Zhang   +3 more
doaj   +1 more source

Vibration suppression in multi-body systems by means of disturbance filter design methods [PDF]

, 2018
This paper addresses the problem of interaction in mechanical multi-body systems and shows that subsystem interaction can be considerably minimized while increasing performance if an efficient disturbance model is used.
Copot, Cosmin, De Keyser, Robain, Ionescu, Clara-Mihaela, Vanlanduit, Steve   +3 more
core   +2 more sources

Bayesian Parameter Estimation for Linear Parameter-Varying Systems With Outliers and Missing Observations

IEEE Access
Outliers and missing data problems, which often arise from practical industrial processes, can severely deteriorate many traditional identification approaches due to the simple Gaussian noise assumption.
Liming Qian
doaj   +1 more source

Closed‐Loop Identification for Control of Linear Parameter Varying Systems [PDF]

Asian Journal of Control, 2012
AbstractThis paper deals with system identification for control of linear parameter varying systems. In practical applications, it is often important to be able to identify small plant changes in an incremental manner without shutting down the system and/or disconnecting the controller; unfortunately, closed‐loop system identification is more difficult
Bendtsen, Jan Dimon, Trangbæk, Klaus
openaire   +1 more source

Robust Model Predictive Sliding Mode Control of Linear Parameter Varying Systems

IEEE Access
The stability and performance of nonlinear systems under uncertainty are guaranteed by this paper’s robust model predictive control (MPC) approach, which combines sliding mode control (SMC) with a polytopic linear parameter varying (PLPV ...
Mohammadsadegh Baneshi, Mohsen Farbood, Anthony Ja Rossiter, Saleh Mobayen, Pawel Paweskruch, Ruggero Carli   +5 more
doaj   +1 more source