{"product_id":"9781119393276","title":"Robust Adaptive Control for Fractional-Order Systems with Disturbance and Saturation","description":"\u003ch3\u003eWiley-ASME Press Series\u003c\/h3\u003e\u003ch1\u003eRobust Adaptive Control for Fractional-Order Systems with Disturbance and Saturation\u003c\/h1\u003e\u003ch3\u003eMou Chen | Shuyi Shao | Peng Shi\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eTechnology \u0026amp; Engineering \/ Quality Control\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp\u003e\u003cb\u003eA treatise on investigating tracking control and synchronization control of fractional-order nonlinear systems with system uncertainties, external disturbance, and input saturation\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eRobust Adaptive Control for Fractional-Order Systems, with Disturbance and Saturation\u003c\/i\u003e 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.\u003c\/p\u003e \u003cp\u003eThis 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.\u003c\/p\u003e \u003cul\u003e \u003cli\u003eBased on the approximation ability of the neural network (NN), the adaptive neural control schemes are reported for uncertain fractional-order nonlinear systems\u003c\/li\u003e \u003cli\u003eCovers 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\u003c\/li\u003e \u003cli\u003eBy 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\u003c\/li\u003e \u003cli\u003eConsiders, 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\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eRobust Adaptive Control for Fractional-Order Systems, with Disturbance and Saturation\u003c\/i\u003e 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.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e   \u003cp\u003e \u003cb\u003eMou Chen, PhD\u003c\/b\u003e is a Professor at the College of Automation Engineering at Nanjing University of Aeronautics  and Astronautics, China. He also serves as an associate editor for IEEE access and neurocomputing.   \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eShuyi Shao\u003c\/b\u003e is working toward a Ph.D. degree with a major in control theory and control engineering from the College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, China.  \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003ePeng Shi, PhD\u003c\/b\u003e is a Professor and Chair in systems and control, at the University of Adelaide, and Victoria University, Australia. He is also an IEEE Distinguished Lecturer, and is a Member of the College of Expert,  Australian Research Council.  \u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e03 January 2018\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley-ASME Press Series\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9781119393276\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e256\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e19.2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44381061152908,"sku":"9781119393276","price":114.26,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781119393276.jpg?v=1780185727","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9781119393276","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}