Robust Adaptive Reactive Power Control for Doubly Fed Induction Generator by Huabin Wen, Yu Zeng, Lei Wang, Feng Yang, Y. D. Song

“…To accommodate the modelling nonlinearities and inherent uncertainties, a novel robust adaptive control algorithm for MSI is proposed by utilizing Lyapunov theory that ensures asymptotic stability of the system under unpredictable external disturbances and significant parametric uncertainties. …”
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Adaptive Predictive Control: A Data-Driven Closed-Loop Subspace Identification Approach by Xiaosuo Luo, Yongduan Song

“…The problems of online excitation data inaccuracy and closed-loop identification in adaptive control are well solved in the proposed method. …”
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Adaptive Barrier Control for Nonlinear Servomechanisms with Friction Compensation by Shubo Wang, Haisheng Yu, Xuehui Gao, Na Wang

“…Moreover, a barrier Lyapunov function (BLF) is utilized to each step in a backstepping design procedure. Then, a novel adaptive control method is well suggested to ensure that the full-state constraints are within the given boundary. …”
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Fuzzy Inference-Based Adaptive Sonar Control for Collision Avoidance in Autonomous Underwater Vehicles by Kot Rafał

“…This article discusses the use of adaptive control in the sonar scanning sector within an obstacle detection system, to improve the effectiveness of collision avoidance for autonomous underwater vehicles (AUVs). …”
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Adaptive Landing Gear: Optimum Control Strategy and Potential for Improvement by Grzegorz Mikułowski, Łukasz Jankowski

“…The objective of the adaptive control is to mitigate the peak force transferred to the aircraft structure during touch-down, and thus to limit the structural fatigue factor. …”
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Design and Simulation Analysis of New Plug-in Planetary Gear Hybrid Power System by Xiyang Hao, Xutao Cai, Xiaomeng Li

“…In order to improve the range and fuel economy of PHEV（plug-in hybrid electric vehicles），a new type of planetary gear driving device is presented，which can realize a variety of dynamic modes，and the adaptive control strategies modes is formulated. The simulation model of the PHEV is set up based on the ADVISOR software depending on the vehicle parameters of a domestic SUV，and secondary development to the control strategy of the vehicle is carried out at the same time. …”
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Chaos in a System with an Absolute Nonlinearity and Chaos Synchronization by Victor Kamdoum Tamba, Karthikeyan Rajagopal, Viet-Thanh Pham, Duy Vo Hoang

“…In addition, an adaptive control has been applied to get the synchronization of the system.…”
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Kinematics Analysis of Grasping Manipulator based on ART-RBF Learning Algorithm by Kai Wang, XiaoJin Wan

“…On the basis of traditional RBF neural network, adaptive control generates the number of hidden layer nodes, and the similarity soft competition is applied in the first stage of learning. …”
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Adaptive Guaranteed-Performance Consensus Control for Multi-Agent Systems with an Adjustable Convergence Speed by Haiying Ma, Xiao Jia, Ning Cai, Jianxiang Xi

“…Moreover, the lower bound of the convergence coefficient for multiagent systems is deduced, which is linearly adjustable approximately by changing the adaptive control gain. Finally, simulation examples are introduced to demonstrate theoretical results.…”
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Dynamics, Circuit Design, and Synchronization of a New Chaotic System with Closed Curve Equilibrium by Xiong Wang, Viet-Thanh Pham, Christos Volos

“…Antisynchronization ability of the new system with infinite equilibria is studied by applying an adaptive control. This study suggests that there exist other chaotic systems with uncountable equilibria in need of further investigation.…”
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Neural Network-Based Nonlinear Fixed-Time Adaptive Practical Tracking Control for Quadrotor Unmanned Aerial Vehicles by Jianhua Zhang, Yang Li, Wenbo Fei

“…First, by combining the radial basis function neural networks (NNs) with virtual parameter estimating algorithms, a NN adaptive control scheme is developed for UAVs. Then, a fixed-time adaptive law is proposed for neural networks to achieve fixed-time stability, and convergence time is dependent only on control gain parameters. …”
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THE MULTIFUNCTION MEASURING CONVERTER FOR MONITORING OF LIQUID TECHNOLOGICAL MEDIA by R. I. Vorobey, O. K. Gusev, A. L. Zharin, Yu. G. Kuzminsky, A. I. Svistun, A. K. Tyavlovsky, K. L. Tyavlovsky, S. V. Shilko

“…Theoretical and experimental results demonstrate that both concentration measurement and solution type definition modes can be realized in a single one-element sensor. Adaptive control of excitation regimes of sensor’s electrodes is needed to ensure single-signal measurements. …”
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Adaptive Neural Sliding Mode Control of Active Power Filter by Juntao Fei, Zhe Wang

“…The advantages of the adaptive control, neural network control, and sliding mode control are combined together to achieve the control task; that is, the harmonic current of nonlinear load can be eliminated and the quality of power system can be well improved. …”
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Enhancing Intelligent Control Strategies for UAVs: A Comparative Analysis of Fuzzy Logic, Fuzzy PID, and GA-Optimized Fuzzy PID Controllers by Nigatu Wanore Madebo

“…The Fuzzy controller leverages heuristic rules for adaptive control, while the FPID controller integrates conventional PID dynamics with fuzzy logic to improve precision and robustness. …”
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Research of the Trajectory Tracking Method for Four-wheeled Omnidirectional Mobile Robot based on the Adaptive Sliding Mode Control by Xing Yanrong, Qin Jiawei, Su Caiyun

“…At the same time a parameter adaptive control algorithm is proposed in order to achieve the online estimation of the robot dynamics parameters,and real- time switch gain adjustment of trajectory tracking controller is achieved by using RBF neural network as to reduce the chattering of the system. …”
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Multiple Model Adaptive Tracking Control Based on Adaptive Dynamic Programming by Kang Wang, Xiaoli Li, Yang Li

“…The convergence of multiple model adaptive control based on ADP is proved and the simulation shows that the proposed method can improve the transient response of system effectively.…”
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Fuzzy Adaptive Prescribed Performance Control for MIMO Uncertain Chaotic Systems in Nonstrict Feedback Form by Yeguo Sun, Heng Liu

“…This paper presents a fuzzy adaptive control method for MIMO uncertain chaotic systems in nonstrict feedback form, which is capable of guaranteeing the prescribed performance bounds. …”
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Adaptive Fault-Tolerant Control for Flight Systems with Input Saturation and Model Mismatch by Man Wang, Jianying Yang, Nan Li

“…A novel scheme for fault-tolerant control is proposed in this paper, in which model reference adaptive control method is incorporated with control allocation to cope with simultaneous actuator failures, input saturation, and model mismatch in the flight system. …”
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A MRAC Principle for a Single-Link Electrically Driven Robot with Parameter Uncertainties by Carlos Aguilar-Avelar, Javier Moreno-Valenzuela

“…In this paper, a model reference adaptive control (MRAC) principle for a one-degree-of-freedom rigid-link electrically driven robot is presented. …”
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Impact of Communication Device Installation Rate on Vehicle Behavior Stability in V2X-Based Freeway Merging Assistance Systems by Noriyasu Kikuchi

“…In recent years, research has advanced on merging assistance systems that utilize wireless communication technologies to enable real-time monitoring of traffic conditions and achieve more precise and adaptive control. However, previous studies have often assumed that all vehicles are equipped with communication devices and have not adequately addressed the impact of the varying installation rates of these devices on vehicle behavior. …”
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