000			03008 a2200241 4500
005			20180124155939.0
008			180124b xxu||||| |||| 00| 0 eng d
020			_a9781119393276
040			_cIIT Kanpur
041			_aeng
082			_a629.8 _bC42r
100			_aChen, Mou
245			_aRobust adaptive control for fractional-order systems with disturbance and saturation _cMou Chen, Shuyi Shao and Peng Shi
260			_bWiley _c2018 _aNew Jersey
300			_axvii, 232p
440			_aWiley-ASME press series list
520			_aRobust Adaptive Control for Fractional–Order Systems, with Disturbance and Saturation provides the reader with a good understanding on how to achieve tracking control and synchronization control of fractional–order nonlinear systems with system uncertainties, external disturbance, and input saturation. Although some texts have touched upon control of fractional–order systems, the issues of input saturation and disturbances have rarely been considered together. This book offers chapter coverage of fractional calculus and fractional–order systems; fractional–order PID controller and fractional–order disturbance observer; design of fractional–order controllers for nonlinear chaotic systems and some applications; sliding mode control for fractional–order nonlinear systems based on disturbance observer; disturbance observer based neural control for an uncertain fractional–order rotational mechanical system; adaptive neural tracking control for uncertain fractional–order chaotic systems subject to input saturation and disturbance; stabilization control of continuous–time fractional positive systems based on disturbance observer; sliding mode synchronization control for fractional–order chaotic systems with disturbance; and more. Based on the approximation ability of the neural network (NN), the adaptive neural control schemes are reported for uncertain fractional–order nonlinear systems Covers the disturbance estimation techniques that have been developed to alleviate the restriction faced by traditional feedforward control and reject the effect of external disturbances for uncertain fractional–order nonlinear systems By combining the NN with the disturbance observer, the disturbance observer based adaptive neural control schemes have been studied for uncertain fractional–order nonlinear systems with unknown disturbances Considers, together, the issue of input saturation and the disturbance for the control of fractional–order nonlinear systems in the present of system uncertainty, external disturbance, and input saturation Robust Adaptive Control for Fractional–Order Systems, with Disturbance and Saturation can be used as a reference for the academic research on fractional–order nonlinear systems or used in Ph.D. study of control theory and engineering.
650			_aAdaptive control
650			_aNonlinear systems
700			_aShao, Shuyi
700			_aShi, Peng
942			_cBK
999			_c558455 _d558455