Title :
Authors\´ reply [to comments on "A composite energy function-based learning control approach for nonlinear systems with time-varying parametric uncertainties"]
Author :
Xu, Jian-Xin ; Tan, Ying
Author_Institution :
Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore
Abstract :
For original paper see ibid., vol.47, p.1940-5 (2002); for comment see ibid., vol.48, no.9, p.1671-2 (2003). In that paper, a composite energy function learning control approach was proposed to asymptotically eliminate the mismatch between the desired and actual periodic trajectory of a system. The comment highlighted alleged technical errors, especially in light of the fdadt that the boundedness of the learning estimate has historically been a problematic issue. The authors defend their work, pointing out that learning control needs different designs and requires different conditions when addressing different tasks, and acknowledging some error.
Keywords :
learning systems; nonlinear control systems; time-varying systems; uncertain systems; asymptotic mismatch elimination; boundedness; composite energy function-based learning control approach; nonlinear systems; periodic trajectory; resetting condition; time-varying parametric uncertainties; Automatic control; Control systems; Convergence; Nonlinear control systems; Nonlinear systems; Robotics and automation; Robots; State estimation; Time varying systems; Uncertainty;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2003.817004