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Journal ArticleDOI

Adaptive Fuzzy Hierarchical Sliding-Mode Control for a Class of MIMO Nonlinear Time-Delay Systems With Input Saturation

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TLDR
An adaptive fuzzy hierarchical sliding-mode control method for a class of multiinput multioutput unknown nonlinear time-delay systems with input saturation is proposed and theoretically proved that all the signals in the closed-loop system together with the proposed sliding surfaces are uniformly ultimately bounded under the designed adaptive fuzzy controllers.
Abstract
In this paper, an adaptive fuzzy hierarchical sliding-mode control method for a class of multiinput multioutput unknown nonlinear time-delay systems with input saturation is proposed. The studied system is first transformed into an equivalent system. Subsequently, based on sliding-mode control technology and the concept of hierarchical design, a set of adaptive fuzzy hierarchical sliding-mode controllers are designed for the new defined system by using fuzzy systems to approximate uncertain functions and compensate input saturation. Choosing an appropriate Lyapunov–Krasovskii function, it is theoretically proved that all the signals in the closed-loop system together with the proposed sliding surfaces are uniformly ultimately bounded under our designed adaptive fuzzy controllers. Simulation results demonstrate the effectiveness of the proposed design techniques for the systems under consideration.

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Citations
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Journal ArticleDOI

Adaptive Fuzzy Tracking Control of Flexible-Joint Robots With Full-State Constraints

TL;DR: By combining the method of backstepping design with adaptive fuzzy control approaches, a novel simpler controller is successfully constructed to ensure that the output tracking errors converge to a sufficiently small neighborhood of the origin, while the constraints on the system states will not be violated during operation.
Journal ArticleDOI

Observed-based Adaptive Finite-Time Tracking Control for a Class of Nonstrict-Feedback Nonlinear Systems with Input Saturation

TL;DR: An observer-based adaptive finite-time tracking control strategy is developed by combining dynamic surface control (DSC) technique and backstepping approach and the stability of the considered system is analyzed via semi-global practical finite- time stability theory.
Journal ArticleDOI

Adaptive Backstepping Hybrid Fuzzy Sliding Mode Control for Uncertain Fractional-Order Nonlinear Systems Based on Finite-Time Scheme

TL;DR: A fractional-order integral fuzzy sliding mode control scheme based on the fractional Lyapunov stability theory and the finite-time stability theory, and a fractional adaptive backstepping neuro-fuzzy sliding mode controller is designed to drive the state trajectories of fractiona-order systems to the prescribed sliding mode surface.
Journal ArticleDOI

Adaptive fuzzy dynamic surface control of flexible-joint robot systems with input saturation

TL;DR: It is proved that all the signals in the closed-loop system are semi-globally uniformly ultimately bounded, and the tracking error eventually converges to a small neighborhood around zero.
Journal ArticleDOI

Finite-time synchronization of inertial memristive neural networks with time delay via delay-dependent control

TL;DR: A delay-dependent controller is designed to ensure that finite-time synchronization can be achieved between drive system and response system based on finite time stability theory, and the settling time is estimated, and optimized based on the relationship between the settle time and parameter η.
References
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Journal ArticleDOI

Robust Adaptive Control of Uncertain Nonlinear Systems in the Presence of Input Saturation and External Disturbance

TL;DR: Two new robust adaptive control algorithms are developed by introducing a well defined smooth function and using a Nussbaum function to compensate for the nonlinear term arising from the input saturation.
Journal ArticleDOI

Adaptive control of nonlinearly parameterized systems: the smooth feedback case

TL;DR: This work develops a feedback domination design approach for the explicit construction of a smooth adaptive controller that solves the problem of global state regulation of feedback linearizable systems with nonlinear parameterization.
Journal ArticleDOI

Observer-Based Adaptive Fuzzy Tracking Control of MIMO Stochastic Nonlinear Systems With Unknown Control Directions and Unknown Dead Zones

TL;DR: The main features of the proposed adaptive control approach are that it can guarantee the stability of the closed-loop system, and the tracking errors converge to a small neighborhood of zero, and it can solve the problems of unknown control direction, unknown dead-zone, and unmeasured states simultaneously.
Journal ArticleDOI

Control Lyapunov-Razumikhin functions and robust stabilization of time delay systems

TL;DR: It turns out that the domination redesign control law applies, achieving global practical stability and, under an additional assumption, global asymptotic stability.
Journal ArticleDOI

Robust Adaptive Fuzzy Tracking Control for Pure-Feedback Stochastic Nonlinear Systems With Input Constraints

TL;DR: The proposed adaptive fuzzy tracking controller guarantees that all signals in the closed-loop system are bounded in probability and the system output eventually converges to a small neighborhood of the desired reference signal in the sense of mean quartic value.
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