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

Content Provider	IET Digital Library
Author	Zhang, Sainan Tang, Zhongliang Ge, Shuzhi Sam He, Wei
Abstract	This study investigates the adaptive neural dynamic surface control (DSC) of output constrained non-linear systems, subject to unknown system dynamics and uncertain control direction. A Nussbaum-type dynamic gain algorithm is used to handle the effect of unknown control direction. Integral barrier Lyapunov functions (iBLFs) are directly utilised to tackle the effect of output constraint. The prominent feature of iBLFs is that the feasible initial output signals are relaxed to the whole constraint range compared with pure tracking errors-based barrier Lyapunov function. Also, the DSC technology is developed to avoid the explosion of complexity in traditional control design, and adaptive neural networks are adopted to estimate the uncertainty that comprises the unknown system dynamics and parametric uncertainties. By utilising Lyapunov synthesis, it is proven that the proposed control is able to guarantee semi-global uniformly ultimately bounded of all signals in the closed-loop system. Simulation results are provided to verify the effectiveness of the proposed approach.
Starting Page	2994
Ending Page	3003
Page Count	10
ISSN	17518644
Volume Number	11
e-ISSN	17518652
Issue Number	Issue 17, Nov (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cta/11/17
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2017.0556
Journal	IET Control Theory & Applications
Publisher Date	2017-08-24
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Control Adaptive Neural Dynamic Surface Control Closed Loop System Closed-loop System Constraint Range Control System Analysis Control System Synthesis DSC Technology IBLF Initial Output Signal Integral Barrier Lyapunov Function Lyapunov Method Lyapunov Synthesis Neurocontrol Neurocontrollers Nonlinear Control System Nussbaum-type Dynamic Gain Algorithm Output Constrained Nonlinear System Output Constraint Parametric Uncertainty Pure Tracking Error-based Barrier Lyapunov Function Self Adjusting Control System Semiglobal Uniformly Ultimately Bounded Control Stability in Control Theory Synthesis Method Uncertain Control Direction Uncertain System Unknown System Dynamics
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications

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