A 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.
Chen, M., Shao, S., Shi, P.: Robust Adaptive Control for Fractional-Order Systems with Disturbance and Saturation. ASME Press and Wiley, UK (2017) 232. Podlubny, I.: Fractional-order systems and PI λDμ-controllers. IEEE Trans. Autom.
Adaptive fuzzy prescribed performance controller design for a class of uncertain fractional-order nonlinear systems with external disturbances. Neurocomputing, 219, 422–430. doi:10.1016/j.neucom.2016.09.050 Liu, Y. J., & Tong, ...
Vrdoljak K, Peric N, Petrovic I (2010) Sliding mode based load-frequency control in power systems. ... Chen M, Shao S, Shi P (2018) Robust adaptive control for fractional-order systems with disturbance and saturation (1st edn).
Fundamentals of Heat Engines Reciprocating and Gas Turbine Internal Combustion Engines Summarizes the analysis and design of today's gas heat engine cycles This book offers readers comprehensive coverage of heat engine cycles.
Syst Control Lett 19(3):177–185 Li Y, Chen Y, Podlubny I (2009) Mittag-Leffler stability of fractional order ... (2011) Robust adaptive control of uncertain nonlinear systems in the presence of input saturation and external disturbance.
[1] Sakthivel R, Selvi S, Mathiyalagan K. Fault-tolerant sampled-data control of flexible spacecraft with probabilistic time delays. Nonlinear Dynamics 2015 ... Vibration suppression of flexible spacecraft during attitude control.
Computing Suppl 2:33–49 10. ... Kosi ́nski W, Prokopowicz P (2004) Algebra of fuzzy numbers (In Polish: Algebra liczb rozmytych). ... Proceedings of the international IIS: IIPWM'03 conference held in Zakopane, Poland, 2–5 June 2003.
This volume surveys the major results and techniques of analysis in the field of adaptive control.
... we consider the following reference model: Aref – Aref Aref –– Bref Xcmd. }ref – C Aref (10.14) It is easy to verify that the transfer function Gry(s) from y, toy, and then subtract (10.14) from (10.13) to obtain the tracking.
This book aims to propose implementations and applications of Fractional Order Systems (FOS).