LEADER 03989nam 2200481 450 001 9910830338903321 005 20200423232016.8 010 $a1-119-39333-7 010 $a1-119-39331-0 010 $a1-119-39335-3 035 $a(CKB)4100000000981064 035 $a(MiAaPQ)EBC5123118 035 $a(CaSebORM)9781119393276 035 $a(EXLCZ)994100000000981064 100 $a20171204h20182018 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aRobust adaptive control for fractional-order systems with disturbance and saturation /$fMou Chen, Shuyi Shao, Peng Shi 205 $a1st edition 210 1$aHoboken, New Jersey ;$aChichester, West Sussex, England :$cWiley,$d2018. 210 4$dİ2018 215 $a1 online resource (331 pages) $cillustrations (some color), tables 225 1 $aWiley-ASME Press Series 311 $a1-119-39327-2 320 $aIncludes bibliographical references and index. 330 $aA treatise on investigating tracking control and synchronization control of fractional-order nonlinear systems with system uncertainties, external disturbance, and input saturation Robust 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. 410 0$aWiley-ASME Press series. 606 $aAdaptive control systems 615 0$aAdaptive control systems. 676 $a629.836 700 $aChen$b Mou$01701020 702 $aShao$b Shuyi 702 $aShi$b Peng$f1958- 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910830338903321 996 $aRobust adaptive control for fractional-order systems with disturbance and saturation$94084468 997 $aUNINA