scholarly journals Integral Reinforcement Learning Control for a Class of High-Order Multivariable Nonlinear Dynamics With Unknown Control Coefficients

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 86223-86229 ◽  
Author(s):  
Qingling Wang
2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Yan Zhao

This paper investigates the global stabilization problem for a class of high-order nonholonomic systems with unknown control coefficients and uncertain nonlinearities. An adaptive sliding mode control (SMC) law based on a constructive manipulation is proposed by adding a power integrator technique. A switching control strategy is employed in the control scheme to overcome the uncontrollability problem associated with the nonholonomic systems. The designed sliding mode controller could guarantee the attractiveness of the sliding surfaceS=0and achieve the asymptotical convergence of the state as well as the boundedness of the estimated parameters. A simulation example is provided to demonstrate the effectiveness of the proposed scheme.


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