Sliding-mode-disturbance-observer-based adaptive neural control of uncertain discrete-time systems

Shao, Shuyi

doi:10.1007/s11432-018-9574-3

Cited by 18 publications

(8 citation statements)

References 7 publications

(11 reference statements)

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“…In [15], the H ∞ control theory was united with the DOBC method to reject and attenuate the influence of the multiple disturbances, which was a heuristic control idea for the anti-disturbance control issue. The sliding model control, adaptive neural control and DOBC methods are applied in [16] to discuss a class of uncertain discrete-time systems. The event-triggered control problem of semi-Markovian jump nonlinear systems was discussed via using DOBC scheme in the works of [17].…”

Section: Bymentioning

confidence: 99%

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Robust Anti-Disturbance Coordinated Control for Multiple Manipulators

Yin

et al. 2020

IEEE Access

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In this paper, the anti-disturbance coordinated control is investigated for the multiple mobile manipulators with disturbances. Some disturbances are induced by the random white noise; the others are assumed to be described by an external system. These disturbances are rejected and attenuated based on the disturbance-observer-based-control (DOBC) method and the adaptive control approach. Subsequently, a robust adaptive antidisturbance coordinated control strategy is proposed for the multiple mobile manipulators based on the back-stepping control scheme. In accordance with Lyapunov stability theory and the stochastic control theory foundation, the tracking error systems are guaranteed to be exponentially practically stable in mean square. Finally, an example is used to verify the effectiveness of the presented control method.

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Section: Bymentioning

confidence: 99%

“…Noting Lemma 1, the Lyapunov function V (t) and its the infinitesimal generator LV (t) satisfy the conditions (16) and (17), respectively. Therefore, the composite closed-loop system (40) is exponentially practically stable in mean square.…”

Section: Controller Designmentioning

confidence: 99%

Robust Anti-Disturbance Coordinated Control for Multiple Manipulators

Yin

et al. 2020

IEEE Access

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“…Furthermore, it should be noted that the external disturbances are inevitable in the flight formation control under various flight environments [31, 32]. To compensate for the negative effects of external disturbances, the disturbance‐observer‐based method has been widely utilised in recent years [33–39]. For instance, in [36], the disturbance‐observer‐based method was employed to tackle the robust attitude control for near space vehicles with variable disturbances.…”

Section: Introductionmentioning

confidence: 99%

Dynamic event‐triggered cooperative formation control for UAVs subject to time‐varying disturbances

Lili

2020

IET Control Theory & Appl

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“…Though the beginning condition can be arbitrarily specified in the normal system, it does not satisfy the uncertain situation [16]. The disturbance observer has less dithering, however a longer arriving time in the arriving stage also occurs [17]. The exponential reaching law-based SMT was developed for the application of renewable energy.…”

Section: Introductionmentioning

confidence: 99%

A Novel Fixed-Time-Convergent Sliding Mode Technology Using Improved Quantum Particle Swarm Optimization for Renewable Energy Inverters

Chang¹

2020

Sustainability

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This paper describes a robust feedback technique involving novel fixed-time-convergent sliding mode technology (NFTCSMT) using improved quantum particle swarm optimization (QPSO) to obtain high-performance renewable energy inverters. Customary SMT encounters long time convergence towards the origin and the influence of the dithering. The NFTCSMT can rapidly impel system-following movement to approach the sliding manifold and effectively accelerate the convergence speed to equilibrium states. However, the NFTCSMT cannot easily select the global optimum of the controller parameters subject to large parameter changes and nonlinear interventions, leading to the dither phenomenon/steady-state error still being caused. The dither inflicts decreased control accuracy, high voltage harmonics, major harm in relation to switching components, and great thermal losses in power electronic converters. The improved QPSO including the unique property of a random compression/expansion factor is used to find optimal parameters of the NFTCSMT in practical applications, for the reason that it importantly mitigates the dither and amends convergent speed as well as guaranteeing global convergence. The presented alliance amid NFTCSMT and improved QPSO achieves faster response time and singularityless, and also yields high-accuracy tracking and dither attenuation. The robust stability using Lyapunov theorem of the suggested system has provided precise mathematical derivations. Simulations show that the suggested controller offers less than 0.1% voltage THD (total harmonic distortion) which exceeds IEEE standard 519 under heavily distorted rectifier loads, and less than 10% voltage dip which surpasses IEEE standard 1159 during step load transients. Experimental tests of an algorithmically controlled laboratory prototype (1 kW, 110 Vrms/60 Hz) of a renewable energy inverter (REI) based on digital signal processing manifest less than 0.05% voltage THD in the face of great inductor-capacitor alterations, and less than 10% voltage dip in the face of transient load scenarios.

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Sliding-mode-disturbance-observer-based adaptive neural control of uncertain discrete-time systems

Cited by 18 publications

References 7 publications

Robust Anti-Disturbance Coordinated Control for Multiple Manipulators

Robust Anti-Disturbance Coordinated Control for Multiple Manipulators

Dynamic event‐triggered cooperative formation control for UAVs subject to time‐varying disturbances

A Novel Fixed-Time-Convergent Sliding Mode Technology Using Improved Quantum Particle Swarm Optimization for Renewable Energy Inverters

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