Adaptive fuzzy system-based variable-structure controller for uncertain MIMO nonlinear systems subject to actuator nonlinearities

Haddad, Mohammed; Boulkroune, Abdesselem

doi:10.1109/icmic.2016.7804260

Cited by 1 publication

(1 citation statement)

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“…It is obvious from above simulation results that the input time delays are small, the fuzzy adaptive output feedback controller for the uncertain MIMO nonlinear systems with unknown control gain functions and input delay can pledge that the observer errors and the states converge to a small neighbourhood of zero and all the state variables of the controlled system are bounded.Example Consider a laboratory model of a helicopter (CE 150), see Figure 13, where the elevation angle

θ

and the azimuth angle

ϕ

are controlled by the main rotor (

u_{1}

) and the secondary rotor (

u_{2}

). This helicopter system is a MIMO system Figure with uncertain nonlinear dynamics [42]. …”

Section: Simulation Studymentioning

confidence: 99%

Observer‐based fuzzy adaptive control for MIMO nonlinear systems with non‐constant control gain and input delay

Zhao

Tong

2021

IET Control Theory & Appl

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In this work the fuzzy adaptive control issue is investigated for multiple-input multipleoutput (MIMO) uncertain nonlinear systems in strict-feedback form. The controlled systems under consideration of this work contain the immeasurable states, unknown control gain functions and input time delays. The immeasurable states are estimated by constructing a fuzzy state observer, and the uncertain nonlinear functions are approximated by utilizing the fuzzy logic systems (FLSs). In addition, the Pade approximation method is employed to handle the input time delays problem. An observer-based fuzzy adaptive centralized control algorithm is presented by employing the adaptive backstepping control design technique and constructing the Logarithm Lyapunov functions. The designed fuzzy adaptive robust control algorithm can make sure that all signals in the closed-loop system are semi-globally uniformly ultimately boundedness (SGUUB). Finally, a numerical simulation example and a practical system example are considered to testify the availability of the designed centralized controllers.

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