Results 21 to 30 of about 1,043,424 (294)
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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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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Retrofit self-optimizing control of Tennessee Eastman process [PDF]
, 2016 This paper considers near-optimal operation of the Tennessee Eastman (TE) process by using a retrofit self-optimizing control (SOC) approach. Motivated by the factor that most chemical plants in operation have already been equipped with a workable ...
Cao, Yi +3 more
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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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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
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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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IET Intelligent Transport Systems, 2021 Human drivers conduct compensatory behaviour to counteract the increased risk while being distracted. This kind of compensation strategy should be learned for a safer and smart design of adaptive cruise control system (ACC).
Penghui Li +5 more
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Maternal tobacco, cannabis and alcohol use during pregnancy and risk of adolescent psychotic symptoms in offspring [PDF]
, 2009 Background Adverse effects of maternal substance use during pregnancy on fetal development may increase risk of psychopathology. Aims To examine whether maternal use of tobacco, cannabis or alcohol during pregnancy increases risk of offspring ...
Andrew Thompson +14 more
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IET Control Theory & Applications, 2021 A fractional order sliding mode control (FOSMC) based on single parameter adaptive law for nano‐positioning of Piezoelectric Actuators (PEAs) is proposed.
Sai Zhang +3 more
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IET Control Theory & Applications, 2022 In this paper, we discuss the cooperative output tracking problem for networked multi‐agent systems (NMASs) with plant‐model mismatch as well as random communication constraints in the forward and feedback channels of each agent.
Zhe Dong +3 more
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