Results 21 to 30 of about 993,599 (368)
Tracking control of a robotic system with deferred constraints and actuator faults
IET Control Theory & Applications, 2021 This paper proposes an adaptive sliding mode tracking control for a robotic manipulator to guarantee a deferred performance under input non‐linearities and external perturbations.
Yu Zhang +4 more
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IET Renewable Power Generation, 2021 Wave energy converters (WECs) exhibit higher energy capture capacity when the wave frequency is close to the nature frequency of the device. A possible way to enhance energy capture efficiency is to modify the nature frequency of a WEC to match the ...
Shaohui Yang +4 more
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IET Control Theory & Applications, 2021 In this work the fuzzy adaptive control issue is investigated for multiple‐input multiple‐output (MIMO) uncertain nonlinear systems in strict‐feedback form.
Jipeng Zhao, Shaocheng Tong, Yongming Li
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Research on adaptive cruise control algorithm considering road conditions
IET Intelligent Transport Systems, 2021 As one of the most important ADAS systems, traditional adaptive cruise control is only suitable for relatively simple working conditions such as expressways, and it is difficult to deal with complex traffic environment and road working conditions.
Zhi Yang, Rui He, Sumin Zhang, Jian Wu
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Finite‐time adaptive neural dynamic surface control for non‐linear systems with unknown dead zone
IET Control Theory & Applications, 2021 This paper proposes a new adaptive neural network finite‐time dynamic surface control scheme for inaccurate non‐linear systems subjected to unknown dead zones.
Lian Chen, Qing Wang
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Self-Tuning Neural Network PID With Dynamic Response Control
IEEE Access, 2021 PID controllers are widely used and adaptable to various types of systems. However, for the response to be adequate under different conditions, the PID gains must be adjusted. The tuning is made according to the difference between the reference value and
Omar Rodríguez-Abreo +4 more
semanticscholar +1 more source
IET Control Theory & Applications, 2021 This paper considers the problem of adaptive fault estimation and fault‐tolerant tracking control for a class of uncertain nonlinear systems with model uncertainty and process fault.
Yang Wu, Guoshan Zhang, Libing Wu
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IET Power Electronics, 2021 An adaptive backstepping complementary sliding mode control (ABCSMC) with dead‐zone parameter modification applicable to the permanent magnet linear synchronous motor is proposed in order to achieve high‐performance servo control fields.
Hongyan Jin, Ximei Zhao, Tianhe Wang
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Adaptive stochastic model predictive control of linear systems using Gaussian process regression
IET Control Theory & Applications, 2021 This paper presents a stochastic model predictive control method for linear time‐invariant systems subject to state‐dependent additive uncertainties modelled by Gaussian process (GP).
Fei Li, Huiping Li, Yuyao He
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Modelling human teaching tactics and strategies for tutoring systems [PDF]
, 2001 One of the promises of ITSs and ILEs is that they will teach and assist learning in an intelligent manner. Historically this has tended to mean concentrating on the interface, on the representation of the domain and on the representation of the student’s
du Boulay, Benedict, Luckin, Rosemary
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