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A survey on industrial applications of fuzzy control
Fuzzy control has long been applied to industry with several important theoretical results and successful results. Originally introduced as model-free control design approach, model-based fuzzyExpand
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Model-free sliding mode control of nonlinear systems: Algorithms and experiments
Two model-free sliding mode control system (MFSMCS) structures are proposed.The sliding mode control of the tracking error dynamics is carried out.The design approaches specific to MFSMCS structuresExpand
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An extension of tuning relations after symmetrical optimum method for PI and PID controllers
The paper presents relations for PI and PID controller tuning based on a generalization of the relations after symmetrical optimum (SO) method, introduced by Kessler (Regelungstechnik, 6 (1958),Expand
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Gravitational search algorithm-based design of fuzzy control systems with a reduced parametric sensitivity
This paper proposes the design of fuzzy control systems with a reduced parametric sensitivity making use of Gravitational Search Algorithms (GSAs). The parametric variations of the processes lead toExpand
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Grey Wolf Optimizer Algorithm-Based Tuning of Fuzzy Control Systems With Reduced Parametric Sensitivity
This paper proposes an innovative tuning approach for fuzzy control systems (CSs) with a reduced parametric sensitivity using the Grey Wolf Optimizer (GWO) algorithm. The CSs consist of servo systemExpand
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Iterative performance improvement of fuzzy control systems for three tank systems
This paper suggests the performance improvement of fuzzy control systems (FCSs) for three tank systems using iterative feedback tuning (IFT). The stable design of Takagi-Sugeno-Kang fuzzy controllersExpand
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Multi-input–multi-output system experimental validation of model-free control and virtual reference feedback tuning techniques
This study proposes data-driven model-free adaptive control (MFAC), model-free control (MFC) and virtual reference feedback tuning (VRFT) techniques applied to the control of a representativeExpand
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  • Open Access
Model-Free control performance improvement using virtual reference feedback tuning and reinforcement Q-learning
ABSTRACT This paper proposes the combination of two model-free controller tuning techniques, namely linear virtual reference feedback tuning (VRFT) and nonlinear state-feedback Q-learning, referredExpand
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Experiment-Based Teaching in Advanced Control Engineering
This paper discusses an experiment-based approach to teaching an advanced control engineering syllabus involving controlled plant analysis and modeling, control structures and algorithms, real-timeExpand
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Data-driven model-free slip control of anti-lock braking systems using reinforcement Q-learning
Abstract This paper proposes the design and implementation of a model-free tire slip control for a fast and highly nonlinear Anti-lock Braking System (ABS). A reinforcement Q-learning optimal controlExpand
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