Direct Adaptive Controller for Uncertain MIMO Dynamic Systems with Time-varying Delay and Dead-zone Inputs
Zhijun Li, Ziting Chen, Jun Fu, Changyin Sun

TL;DR
This paper introduces an adaptive control approach for uncertain MIMO systems with time-varying delays and dead-zone nonlinearities, ensuring stability and accurate tracking.
Contribution
It proposes a novel high-dimensional Lyapunov-Krasovskii functional for global stability and convergence in complex nonlinear MIMO systems with delays and dead zones.
Findings
Guarantees global stability of the system
Ensures convergence of tracking errors to zero
Provides an effective alternative to existing methods
Abstract
This paper presents an adaptive tracking control method for a class of nonlinearly parameterized MIMO dynamic systems with time-varying delay and unknown nonlinear dead-zone inputs. A new high dimensional integral Lyapunov-Krasovskii functional is introduced for the adaptive controller to guarantee global stability of the considered systems and also ensure convergence of the tracking errors to the origin. The proposed method provides an alternative to existing methods used for MIMO time-delay systems with dead-zone nonlinearities.
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Taxonomy
TopicsAdaptive Control of Nonlinear Systems · Distributed Control Multi-Agent Systems · Control and Dynamics of Mobile Robots
