2017
DOI: 10.24200/sci.2017.4123
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Nonsingular fast terminal sliding-mode stabilizer for a class of uncertain nonlinear systems based on disturbance observer

Abstract: Abstract. This paper investigates a novel nonsingular fast terminal sliding-mode control method for the stabilization of the uncertain time-varying and nonlinear thirdorder systems. The designed disturbance observer satis es the nite-time convergence of the disturbance approximation error and the suggested nite-time stabilizer assures the presence of the switching behavior around the switching curve in the nite time. Furthermore, this approach can overcome the singularity problem of the fast terminal sliding-m… Show more

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Cited by 77 publications
(51 citation statements)
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“…We present results using the nonlinear controller (21), which enhances the performance of the linear controller (15) due to its robustness properties. In the following simulations, a MAS of 8 thirdorder agents is considered, where the agents' dynamics are described by (5)…”
Section: Simulationsmentioning
confidence: 99%
See 1 more Smart Citation
“…We present results using the nonlinear controller (21), which enhances the performance of the linear controller (15) due to its robustness properties. In the following simulations, a MAS of 8 thirdorder agents is considered, where the agents' dynamics are described by (5)…”
Section: Simulationsmentioning
confidence: 99%
“…[3], [4]. As interesting examples of finite-time control of uncertain non-linear systems, we can mention [5] for stabilization using nonsingular fast terminal sliding mode control, and [6] for synchronization of chaotic systems in the presence of external disturbances and time delays. In both finite and fixedtime convergence, the settling time is a finite value, but in the fixed-time convergence the settling time is uniformly bounded, meaning that the system converges to its equilibrium before an estimated bound that is independent of the initial state.…”
Section: Introductionmentioning
confidence: 99%
“…Due to the existing uncertainties and nonlinearities associated with WMRMs, it is essential to design a control scheme that can robustly and optimally control such nonlinear systems [20]. Designing an appropriate trajectory tracking control system for wheeled mobile robots is a challenging issue, and it has been investigated through various approaches such as robust control [21][22][23][24][25][26][27][28][29], adaptive control [30][31][32][33], optimal control [34][35][36][37][38][39][40], and hybrid control [40][41][42][43][44][45][46] methods. A controller designed for a WMRM should enable the robot to follow a predefined path, while tackling the existing uncertainties and disturbances.…”
Section: Introductionmentioning
confidence: 99%
“…The mode should be avoided switching frequently [17][18][19][20] . Besides, there are many control strategies are adopted to realize high-level trajectory tracking, such as slide control [21][22][23][24] , adaptive control [25] , ARC [10,26] , NN control [27,28] , learning-based optimal control [29] , fuzzy control [30][31][32] and decentralized event-triggered control [33] . In this paper, we proposed a three-level control strategy for a multi-pump multi-actuator electro-hydraulic system.…”
Section: Introductionmentioning
confidence: 99%