Presents a general methodology for adaptive control using multiple models, switching, and tuning. General methodology for the study of adaptive control; Model reference for adaptive control (MRAC) of linear time-invariant (LTI) system; Reason for using fixed models or adaptive models; How the ...
This paper presents a general methodology for such adaptive control using multiple models, switching, and tuning. The approach was first introduced by Narendra et al. (1992) for improving the transient response of adaptive systems in a stable fashion. This paper proposes different switching and ...
全局收敛性 中图分类号:TP273文献标志码:A Nonlinearadaptivecontrollerusingmultiplemodelsandneuralnetworks basedonzeroorderproximityboundedness HUANGMiao 1 ,WANGXin 2 ,WANGZhen-lei 1 (1.KeyLaboratoryofAdvancedControlandOptimizationforChemicalProcesses,MinistryofEducation,EastChina UniversityofScienceandTechnology,...
Adaptive control using multiple models. Presents a general methodology for adaptive control using multiple models, switching, and tuning. General methodology for the study of adaptive control; Mo... Narendra,Kumpati,S.,... - 《IEEE Transactions on Automatic Control》 被引量: 1552发表: 1997年 ...
In this paper, a nonlinear generalized predictive adaptive control method based on neural networks and multiple models is proposed for a class of uncertain nonlinear discrete time dynamical systems. This approach is composed of a linear robust generalize
When multiple parameters jump simultaneously, a multiple models adaptive decoupling controller using dimension-by-dimension technology is presented to solve the problems such as too many models, long computing time and so on. To find the optimal parameter, it adopts one-dimension optimization method in...
Adaptive control: regimes of operation ? Identification in closed and controller redesign ? Adaptive regulation ? Use of a priori available information ? Adaptive control with multiple models ? Example of applications Adaptive Control – Landau, Lozano, M’Saad, Karimi Conceptual Structures Desired ...
Multiple‐model adaptive control using set‐valued observers SUMMARY A multiple-model adaptive control methodology is proposed that is able to provide stability and performance guarantees, for uncertain linear parame... P Rosa,C Silvestre - 《International Journal of Robust & Nonlinear Control》 被引量...
However, the Conventional EKF (CEKF) suffers the problem for which the uncertainty of the statistical properties to dynamic and measurement models will degrade the performance. In this research, an Adaptive Interacting Multiple Model (AIMM) filter is developed to enhance performance. The soft-...
It is assumed that the system operates in multiple environments which may change abruptly from one sub-model to another. That is, (Aj,Bj)⊂M={(A1,B1),(A2,B2),...,(AN,BN)} with N is the number of sub-models which is generally unknown. The goal is to design the control input ...