Prescribed Performance Model-Free Adaptive Integral Sliding Mode Control for Discrete-Time Nonlinear Systems

Liu, Dong; Yang, Guang‐Hong

doi:10.1109/tnnls.2018.2881205

Cited by 84 publications

(47 citation statements)

References 44 publications

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“…From the above results, the compared control 1 is not flexible in calculation, as shown discussed in remarks (1,2,8). It is also remained the main properties of the classical model of dead-zone.…”

Section: Simulation Resultsmentioning

confidence: 88%

“…For instance, an adaptive control using a super-twisting integrated with adecoupled terminal sliding mode control was presented in [1], where the sliding surface was designed based on a terminal sliding surface and a super-twisting controller was employed to eliminate chattering. An integral sliding mode control with prescribed performance was developed in [2]. In this approach, a tanh function was used to obtain smooth control efforts and a prescribed function was utilized to ensure the tracking errors are limited within the desirable boundaries.…”

Section: Introductionmentioning

confidence: 99%

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Robust control for vibration control systems with dead-zone band and time delay under severe disturbance using adaptive fuzzy neural network

Phu

Van

2020

Journal of the Franklin Institute

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This study proposes a novel adaptive control method to deal with the dead-zone and time delay issues in actuators of vibration control systems. The controller is formulated based on a type-2 fuzzy neural network integrating with a new modification of Riccati-like equation. The developed new type Riccati-like equation is significant as it reduces energy consumption of control inputs to minimum. Two approaches are suggested to improve performance of the system using the basic elements of Riccati equation. In addition, a fuzzy neural network is applied to approximate the unmodeled dynamics and a sliding mode controller is developed to enhance the robustness of the system against uncertainties and disturbances. After proving the stability of the proposed controller via Lyapunov criterion, the effectiveness of the proposed approach is validated based on computer simulation for vibration control of a vehicle seat suspension. It is demonstrated that the unwanted vibrations due to external excitations are well controlled despite of the presence of dead-zone and time delay in actuators. Furthermore, when comparing with other two state-of-theart robust controllers [23,36], the proposed controller provides better vibration suppression capacity and requires less energy consumption.

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Section: Simulation Resultsmentioning

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Robust control for vibration control systems with dead-zone band and time delay under severe disturbance using adaptive fuzzy neural network

Phu

Van

2020

Journal of the Franklin Institute

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“…According to the additive decomposition theory [20], the system (21) is decomposed. Define a main system as…”

Section: System Model Description Of Photoelectric Tracking Platmentioning

confidence: 99%

Research of NSMDOB-Based Compound Control for Photoelectric Tracking Platform

Ren

Tian

2020

IEEE Access

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Disturbance compensation is an important criteria to evaluate the performance of a photoelectric tracking servo control system. In order to effectively compensated disturbance in high frequency, a novel sliding mode disturbance observer (NSMDOB) is proposed in this paper. The dynamic performance of the system is improved by the design of the compound control scheme with the NSMDOB and additive decomposition theory. According to the additive decomposition theory, the photoelectric tracking platform servo system was decomposed into the main system and the auxiliary system. The tracking control and disturbance compensation were considered respectively in two systems. A rapid switching technique of the sliding mode was used to estimate the high frequency disturbance in the NSMDOB and the compensator of the auxiliary system. Finite-time control (FTC) was used to design the sliding mode compensator, which could maintain the state of auxiliary system asymptotically stable. Experiment results prove that the proposed method may offer the fast convergence rate, the high tracking accuracy, and the strong robustness of the control system. INDEX TERMS Novel sliding mode disturbance observer, finite-time control, photoelectric tracking platform, additive decomposition, sliding mode control.

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“…For application, it is highly essential to investigate PPC for controlled plants, which are subjected to constraints generally, such as the steady state error and the convergence rate. Hence, PPC has been a research focus, attracting the interest of researchers [34][35][36].…”

Section: Introductionmentioning

confidence: 99%

Model-Free Tracking Control with Prescribed Performance for a Shape Memory Alloy-Based Robotic Hand

Hao¹,

Xiao²,

Li³

2021

Applied Sciences

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The shape memory alloy (SMA)-based robotic hand has been a new emerging technology with potential applications ranging from life service to surgical treatment, because of the characteristics of SMA, such as high power-to-weight ratio, small volume and low driving voltage. However, due to the complex dynamic model and nonlinear aspects of SMA, it is complicated to control an SMA-based robotic hand. This paper presents a novel model free adaptive control for the SMA-based robotic hand system. By applying the Taylor series expansion method and the differential mean value theorem, the SMA based robotic hand system can be transformed into an equivalent linearization model, which merely depends on measurement data without any information on the system. Combined with prescribed performance control, the novel control method can constrain the tracking error in a preassigned domain. Experiments are conducted on the SMA-based robotic hand system to verify the performance of the presented control method.

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Prescribed Performance Model-Free Adaptive Integral Sliding Mode Control for Discrete-Time Nonlinear Systems

Cited by 84 publications

References 44 publications

Robust control for vibration control systems with dead-zone band and time delay under severe disturbance using adaptive fuzzy neural network

Robust control for vibration control systems with dead-zone band and time delay under severe disturbance using adaptive fuzzy neural network

Research of NSMDOB-Based Compound Control for Photoelectric Tracking Platform

Model-Free Tracking Control with Prescribed Performance for a Shape Memory Alloy-Based Robotic Hand

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