scholarly journals Correction to: Adaptive RBFNN finite-time control of normal forms for underactuated mechanical systems

2017 ◽  
Vol 91 (2) ◽  
pp. 1413-1413
Author(s):  
Jawhar Ghommam ◽  
Ahmed Chemori ◽  
Faiçal Mnif
2013 ◽  
Vol 37 (3) ◽  
pp. 549-557 ◽  
Author(s):  
Chi-Cheng Cheng ◽  
Kuang-Shine Yang ◽  
Jung-Hua Yang

For a class of second order underactuated mechanical systems, a robust finite time control strategy is developed in this paper. The robust finite time controller is to drive the tracking error to be zero at the fixed final time. In order to assure system stability, we present a generalized Lyapunov stability proof for the second order underactuated mechanical system. By utilizing a Lyapunov stability theorem, we can achieve finite time tracking of desired reference signals for underactuated systems, which are subject to both external disturbances and system uncertainties. The proposed control scheme is demonstrated by actual experiments on a Furuta pendulum system.


2013 ◽  
Vol 284-287 ◽  
pp. 2310-2314 ◽  
Author(s):  
Kuang Shine Yang ◽  
Chi Cheng Cheng ◽  
Jung Hua Yang

Stabilization and tracking control of nonlinear uncertain underactuated systems are always challenging problems because underacturated systems have fewer independent control actuators than degrees of freedom to be controlled. For a class of second order underactuated mechanical systems, a robust finite time control strategy is developed in this paper. The robust finite time controller is to drive the tracking error to be zero at the fixed final time. In fact, finite time convergence implies nonsmooth or non-Lipschitz continuous autonomous systems with nonuniqueness of solution. In order to prove the stability, we present a generalized Lyapunov stability proof for the second order underactuated mechanical system. By utilizing a Lyapunov stability theorem, we can achieve finite time tracking of desired reference signals for underactuated systems, which is subject to both external disturbances and system uncertainties. The proposed control scheme is demonstrated by actual experiments on a Furuta pendulum system. Based on the experiment results, the finite time convergence of system errors can be assured.


Author(s):  
Jiabo Ren ◽  
Baofang Wang ◽  
Mingjie Cai

This paper studies the problem of finite-time consensus (FTC) for uncertain multiple mechanical systems with unknown backlash nonlinearity and external disturbance. Combining finite-time control technique and graph theory, a distributed adaptive FTC protocol is proposed. Radial basis function neural networks are employed to approximate the unknown functions. If the designed parameters of control algorithms and adaptive laws are appropriately chosen, then it can be proved that the position errors between arbitrary two mechanical systems will converge to a small region of zero in finite time as well as the velocity errors. Finally, the effectiveness of the proposed control scheme is verified by numerical simulation.


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