Results 21 to 30 of about 610,157 (345)
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
doaj +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
doaj +1 more source
Designing Self-Adaptive Software Systems with Control Theory: An Overview
, 2022 The complexity of modern software systems is continuously growing, as well as the amount of data that is produced on a daily basis. This calls for sound and scalable approaches that can be used to tame such an emerging complexity.
Papadopoulos, Alessandro,
core +1 more source
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
doaj +1 more source
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
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
A combined model reference adaptive control law for multirotor UAVs
IET Control Theory & Applications, 2021 Model reference adaptive control (MRAC) offers the potential to adapt in real‐time to changes in the performance of small unmanned air vehicles. There are significant challenges with their use, however, primarily in the implementation and assurance of ...
Alia Farhana Abdul Ghaffar +2 more
doaj +1 more source
IET Control Theory & Applications, 2021 An asymptotic output feedback controller for the hydraulic systems with model uncertainty compensation and prescribed performance is proposed here, where state observers, funnel function and nonlinear adaptive controller are integrated via backstepping ...
Zhangbao Xu +4 more
doaj +1 more source