NDLI: Dynamic surface control for a class of stochastic non-linear systems with input saturation

Content Provider	IET Digital Library
Author	Yan, Xiaohui Chen, Mou Wu, Qingxian Shao, Shuyi
Abstract	In this study, the problem of adaptive dynamic surface control (DSC) design is investigated for a class of stochastic non-linear systems with input saturation. The saturation non-linearity is modelled via the existing dead zone-based model of saturation. Furthermore, the packaged unknown functions are tackled using the neural networks. On the basis of the DSC technique, an adaptive controller is designed for stochastic non-linear systems with input saturation. The proposed control scheme can guarantee the closed-loop system stability, which shows that all closed-loop system signals are semi-globally uniformly ultimately bounded in the sense of probability and the tracking error converges to a small neighbourhood of the origin. Simulation results are provided to demonstrate the effectiveness and performance of the proposed approach.
Starting Page	35
Ending Page	43
Page Count	9
ISSN	17518644
Volume Number	10
e-ISSN	17518652
Issue Number	Issue 1, Jan (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cta/10/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2015.0031
Journal	IET Control Theory & Applications
Publisher Date	2016-01-04
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Control Adaptive Controller Adaptive Dynamic Surface Control Design Closed Loop System Closed-loop System Stability Control Nonlinearities Control System Analysis Control System Synthesis Dead Zone-based Model DSC Input Saturation Neural Network Neurocontrol Neurocontrollers Nonlinear Control System Packaged Unknown Function Saturation Nonlinearity Self Adjusting Control System Stability Stability in Control Theory Stochastic Nonlinear System Stochastic System Synthesis Method Time Varying Control System
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Indirect adaptive neural network dynamic surface control for non-linear time-delay systems with prescribed performance and unknown dead-zone input

Adaptive DSC of stochastic non-linear systems with input unmodelled dynamics

Adaptive control of non-affine MIMO systems with input non-linearity and unmodelled dynamics

Distributed adaptive consensus tracking control for uncertain non-linear multi-agent systems with input saturation

Adaptive decentralised dynamic surface control for non-linear large-scale systems against actuator failures

Adaptive neural data-based compensation control of non-linear systems with dynamic uncertainties and input saturation

Adaptive neural dynamic surface control of output constrained non-linear systems with unknown control direction

Adaptive quantised control of switched stochastic strict-feedback non-linear systems with asymmetric input saturation

Adaptive neural control for stochastic pure-feedback non-linear time-delay systems with output constraint and asymmetric input saturation

Dynamic surface control for a class of stochastic non-linear systems with input saturation

Similar Documents

Indirect adaptive neural network dynamic surface control for non-linear time-delay systems with prescribed performance and unknown dead-zone input

Adaptive DSC of stochastic non-linear systems with input unmodelled dynamics

Adaptive control of non-affine MIMO systems with input non-linearity and unmodelled dynamics

Distributed adaptive consensus tracking control for uncertain non-linear multi-agent systems with input saturation

Adaptive decentralised dynamic surface control for non-linear large-scale systems against actuator failures

Adaptive neural data-based compensation control of non-linear systems with dynamic uncertainties and input saturation

Adaptive neural dynamic surface control of output constrained non-linear systems with unknown control direction

Adaptive quantised control of switched stochastic strict-feedback non-linear systems with asymmetric input saturation

Adaptive neural control for stochastic pure-feedback non-linear time-delay systems with output constraint and asymmetric input saturation

Dynamic surface control for a class of stochastic non-linear systems with input saturation