Neural Network and Hybrid Methods in Aircraft Modeling, Identification, and Control Problems by Gaurav Dhiman, Andrew Yu. Tiumentsev, Yury V. Tiumentsev

“…These circumstances cause the problem of a rapid adjustment of the used control laws so that the control system can adapt to the mentioned changes. However, most adaptive control schemes have a model of the control object, which plays a crucial role in adjusting the control law. …”
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Adaptive Trajectory Tracking Algorithm of a Quadrotor with Sliding Mode Control and Multilayer Neural Network by Kang Niu, Di Yang, Xi Chen, Rong Wang, Jianqiao Yu

“…At last, to illustrate the stability of the adaptive control law, the paper gives the Lyapunov stability analysis. …”
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Neuronal dynamics of cerebellum and medial prefrontal cortex in adaptive motor timing by Zhong Ren, Xiaolu Wang, Milen Angelov, Chris I. De Zeeuw, Zhenyu Gao

“…These results illustrate how cerebral and cerebellar mechanisms may play different roles during adaptive control of associative motor timing.…”
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Adaptive Fault-Tolerant Control of a Hybrid VTOL UAV against Actuator Faults and Model Uncertainties under Fixed-Wing Mode by Ao He, Yinong Zhang, Huimin Zhao, Ban Wang, Zhenghong Gao

“…With the proposed adaptive control schemes, both actuator faults and model uncertainties can be accommodated without the knowledge of fault information and uncertainty bounds. …”
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Live video transmission optimization mechanism based on edge intelligence in high client-density environment by Xiaodan GU, Wenjia WU, Zhen LING

“…The traditional live video transmission optimization mechanism is deployed on the server side, which cannot quickly respond to the dynamic changes of the user’s wireless network environment.To address this problem, a live video transmission optimization mechanism based on edge intelligence called S-Edge was proposed.It was deployed on the OpenWrt-based wireless access point, and comprehensively utilized the wireless channel state information such as airtime utilization and signal-to-noise ratio to make intelligent decisions on terminal priority and transmission rate based on fuzzy logic theory.Furthermore, the active queue management with hierarchical token bucket and service demand-driven wireless transmission rate adaptive control technologies were introduced to realize the real-time scheduling of live video data.In order to verify the effectiveness and performance of the proposed mechanism, a high client-density environment was built through user clusters based on multi-radio interfaces in the real-world scenario.Experimental results show that S-Edge can significantly reduce the average delay and packet loss rate, which meets QoS requirements of live video transmission services in the high client-density environment.…”
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Finite-Time Tracking Control for Nonstrict-Feedback State-Delayed Nonlinear Systems with Full-State Constraints and Unmodeled Dynamics by Yangang Yao, Jieqing Tan, Jian Wu

“…Different from traditional finite-control methods, a C1 smooth finite-time adaptive control framework is introduced by employing a smooth switch between the fractional and cubic form state feedback, so that the desired fast finite-time control performance can be guaranteed. …”
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Modeling and Control of the Vibration of Two Beams Coupled with Fluid and Active Links by Zhiyi Zhang, Fang Hu, Zeng Li, Hongxing Hua

“…In the control of vibration of the beams, impulse response functions corresponding to the FRFs and an adaptive control algorithm are employed to attenuate vibration transmission between the two beams. …”
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Adaptive Active Noise Suppression Using Multiple Model Switching Strategy by Quanzhen Huang, Suxia Chen, Mingming Huang, Zhuangzhi Guo

“…Then a multiple model adaptive control algorithm is proposed with a new multiple model switching strategy based on filter-u least mean square (FULMS) algorithm. …”
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Using CVIS to Improve Bus Schedule Adherence: A Predictive Control Strategy and Its Hardware-in-the-Loop Field Tests by Wei Yin, Jing Teng, Xiaoguang Yang, H. Michael Zhang

“…In this paper, an adaptive control strategy is proposed to dynamically adjust bus speed and traffic signal timings along the path of a running bus to improve its schedule adherence. …”
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A Review of Cognitive Control: Advancement, Definition, Framework, and Prospect by Zhenfei Liu, Xunhe Yin

“…Cognitive control is then compared with similar concepts, such as cognitive radio and cognitive radar, and similar control methods, such as intelligent control, robust control, and adaptive control. Finally, the main issues, research directions, and development prospects are discussed. …”
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Prescribed Performance Tracking Control for Nonlinear Stochastic Time-Delay Systems with Multiple Constraints by Man Zhang, Ru Chang, Ying Wang

“…The error feedback controller was constructed by combining the backstepping technique, the dynamic surface technique, the neural network approximation technique, and the adaptive control method. Based on stochastic mean-square stability theory, all signals in the closed-loop system are proven to be bounded under the designed control scheme. …”
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Adaptive coverage control for multi-USV system in complex environment with unknown obstacles by Yao Yao, Jun-Hua Cao, Yi Guo, Zhun Fan, Bing Li, Biao Xu, Ke Li

“…The coverage goal, which is to cover a given search domain using multiple mobile sensors so that each point is surveyed until a certain preset level is achieved, is formulated in a mathematically precise problem statement. The adaptive control law is presented which enables multi-USV to navigate in a complex environment in the presence of unknown obstacles and guarantees that a fully connected multi-USV system attains the coverage goal. …”
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Research Status on Jumping Function of Quadruped Robots by Hua Congcong, Yang Zihe, Xia Yanting, Yan Jianrong, Gao Guanjian, Luo Fuliang, Ma Wenshuo, Li Zhijie

“…In the design of control algorithms based on the jump function, traditional control methods such as PID control, fuzzy control, and adaptive control were widely used in the control of jump function. …”
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A Survey on High-Order Internal Model Based Iterative Learning Control by Miao Yu, Sheng Chai

“…Not only can HOIM be integrated into the traditional ILC, it can be also combined with other control methods, such as adaptive control, terminal control, repetitive control and so on. …”
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Immunity-Based Optimal Estimation Approach for a New Real Time Group Elevator Dynamic Control Application for Energy and Time Saving by Mehmet Baygin, Mehmet Karakose

“…With dynamic and adaptive control approach in this study carried out, a significant progress on group elevator control systems has been achieved in terms of time and energy efficiency according to traditional methods.…”
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Influence of Hysteresis on the Vibration Control of a Smart Beam with a Piezoelectric Actuator by the Bouc–Wen Model by Ting Zhang

“…Based on the hysteresis model, model reference adaptive control is designed to explore the influence of hysteresis on the vibration control of the smart beam. …”
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Research on torque feedback equivalent structures in the multi‐layer and multi‐axis synchronisation control model by Jie Xu, Sizhou Sun, Huacai Lu

“…The results verify the effectiveness of the adaptive control model in which the two equivalent torque feedback structures converge to zero.…”
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Sharing and Cooperation of Improved Cross-Entropy Optimization Algorithm in Telemedicine Multimedia Information Processing by Hongjiao Wu

“…To this end, this paper proposes a gain-adaptive control algorithm with online adjustable parameters and investigates the extension of the mutual entropy optimization algorithm in the control domain and its integrated processing capability in the process of medical multimedia information processing. …”
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An intelligent manufacturing system based on a recursive control structure by Bingyan Teng

“…The production balance optimization rate exceeded 90%, far exceeding the results of traditional scheduling schemes, greatly improving the adaptive control capability of manufacturing system production.DiscussionThe regulatory approach proposed in this study can provide reference and assistance for improving the level of industrial production intelligence and establishing a sustainable economic system. …”
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Experimental and Numerical Study on Trajectory Tracking of Remotely Operated Vehicles Involved in Cleaning Aquaculture Vessels by Hua Zhang, Shuangxi Xu, Yonghe Xie

“…To address these challenges, this paper proposes a multi-scale dynamic sliding mode adaptive control (MDSMAC) scheme to compensate for the effects of structural nonlinearities and external disturbances, achieving precise trajectory tracking. …”
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