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- W2903585480 abstract "This chapter focuses on the adaptive neural control of a class of uncertain multi-input multi-output (MIMO) nonlinear time-delay non-integer order systems with unmeasured states, unknown control direction, and unknown asymmetric saturation actuator. The design of the controller follows a number of steps. Firstly, based on the semi-group property of fractional order derivative, the system is transformed into a normalized fractional order system by means of a state transformation in order to facilitate the control design. Then, a simple linear state observer is constructed to estimate the unmeasured states of the transformed system. A neural network is incorporated to approximate the unknown nonlinear functions while a Nussbaum function is used to deal with the unknown control direction. In addition, the strictly positive real (SPR) condition, the Razumikhin lemma, the frequency distributed model, and the Lyapunov method are utilized to derive the parameter adaptive laws and to perform the stability proof." @default.
- W2903585480 created "2018-12-22" @default.
- W2903585480 creator A5044446577 @default.
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- W2903585480 date "2018-01-01" @default.
- W2903585480 modified "2023-09-23" @default.
- W2903585480 title "Adaptive Neural Control for Unknown Nonlinear Time-Delay Fractional-Order Systems With Input Saturation" @default.
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- W2903585480 doi "https://doi.org/10.4018/978-1-5225-5418-9.ch003" @default.
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