Optimal fuzzy controller based on non-monotonic Lyapunov function with a case study on laboratory helicopter

Behzadimanesh, Shahrzad; Fatehi, Alireza; Derakhshan, Siavash Fakhimi

doi:10.1080/00207721.2019.1567864

Cited by 4 publications

(2 citation statements)

References 26 publications

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“…In the meantime, fuzzy logic (FL) and artificial neural network (ANN)-based artificial intelligent systems are promising computational tools because they rely on training experience and continuous learning ability [13]. Behzadimanesh et al [62] designed an observer-based optimal fuzzy state feedback controller for discrete-time Takagi-Sugeno fuzzy (TSF) system via LQR based on non-monotonic Lyapunov function, and compared its capability, experimentally, with the optimal fuzzy feedback controller design based on common quadratic Lyapunov function to achieve relaxed stability conditions with less conservatism. It is deduced that the control method based on non-monotonic Lyapunov function is more effective to track the reference and reject disturbances than the common Lyapunov function, however, at the expense of a little more control effort.…”

Section: Twin-rotor Systemsmentioning

confidence: 99%

Control Strategies and Novel Techniques for Autonomous Rotorcraft Unmanned Aerial Vehicles: A Review

2020

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This paper presents a review of the various control strategies that have been conducted to address and resolve several challenges for a particular category of unmanned aerial vehicles (UAVs), the emphasis of which is on the rotorcraft or rotary-wing systems. Initially, a brief overview of the important relevant definitions, configurations, components, advantages/disadvantages, and applications of the UAVs is first introduced in general, encompassing a wide spectrum of the flying machines. Subsequently, the focus is more on the two most common and versatile rotorcraft UAVs, namely, the twin-rotor and quadrotor systems. Starting with a brief background on the dual-rotor helicopter and a quadcopter, the full detailed mathematical dynamic model of each system is derived based on the Euler-Lagrange and Newton-Euler methods, considering a number of assumptions and considerations. Then, a state-of-the-art review of the diverse control strategies for controlling the rotorcraft systems with conceivable solutions when the systems are subjected to the different impediments is demonstrated. To counter some of these limitations and adverse operating/loading conditions in the UAVs, several innovative control techniques are particularly highlighted, and their performance are duly analyzed, discussed, and compared. The applied control techniques are deemed to produce a useful contribution to their successful implementation in the wake of varied constraints and demanding environments that result in a degree of robustness and efficacy. Some of the off-the-shelf developments in the rotorcraft systems for research and commercial applications are also presented.

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Section: Twin-rotor Systemsmentioning

confidence: 99%

Control Strategies and Novel Techniques for Autonomous Rotorcraft Unmanned Aerial Vehicles: A Review

2020

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“…A novel NLF with less design conservatism is applied to examine distributed H N filtering for sensor networks (Wen et al, 2022). In addition, the NLF approach is employed in the design of guaranteed cost controller (Chen et al, 2014), optimal fuzzy state feedback controller (Behzadimanesh et al, 2019), semi-automatic control for network systems (Tran and Ha, 2019), and optimal proportional-integral-derivative (PID) controller (Solgi et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Conservatism reduction in robust control of Markov jump delay systems

Zou

Wen

et al. 2023

Transactions of the Institute of Measurement and Control

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A new method is developed for the robust stabilization of a Markov jump system with general discrete state time-delay and partly unknown transition probabilities. In contrast to most existing literature, a set of numerical testable conditions, rather than a huge matrix inequality, are established for the resulting closed-loop system in order to justify the stochastic stability and disturbance attenuation capability with the aid of a non-monotonic design approach. To be specific, by constructing a stochastic Lyapunov function via the application of an n-samples variation, sufficient conditions for the existence of a dissipative state feedback controller are derived with less conservativeness, that is, with larger stochastic stable region and better attenuation level. Three examples including a numerical example, a pest’s structured population model and an F-404 test aircraft model are presented to demonstrate the advantage and practical potential of the proposed methodology.

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Design of optimal PID controller for multivariable time-varying delay discrete-time systems using non-monotonic Lyapunov-Krasovskii approach

Solgi

Fatehi

Nikoofard

et al. 2021

Journal of the Franklin Institute

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Optimal fuzzy controller based on non-monotonic Lyapunov function with a case study on laboratory helicopter

Cited by 4 publications

References 26 publications

Control Strategies and Novel Techniques for Autonomous Rotorcraft Unmanned Aerial Vehicles: A Review

Control Strategies and Novel Techniques for Autonomous Rotorcraft Unmanned Aerial Vehicles: A Review

Conservatism reduction in robust control of Markov jump delay systems

Design of optimal PID controller for multivariable time-varying delay discrete-time systems using non-monotonic Lyapunov-Krasovskii approach

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