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| Exponential Synchronization of Delayed Stochastic Complex Dynamical Networks via Hybrid Impulsive Control 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 785-787 作者: Yao Cui; Pei Cheng; Xiaohua Ge Adobe PDF(563Kb)  |  收藏  |  浏览/下载:57/28  |  提交时间:2024/02/19 |
| A Fractional-Order Ultra-Local Model-Based Adaptive Neural Network Sliding Mode Control of n-DOF Upper-Limb Exoskeleton With Input Deadzone 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 760-781 作者: Dingxin He; HaoPing Wang; Yang Tian; Yida Guo Adobe PDF(9812Kb)  |  收藏  |  浏览/下载:29/5  |  提交时间:2024/02/19 Adaptive control input deadzone model-free control n-DOF upper-limb exoskeleton neural network |
| Fixed-Time Sliding Mode Control With Varying Exponent Coefficient for Modular Reconfigurable Flight Arrays 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 514-528 作者: Jianquan Yang; Chunxi Yang; Xiufeng Zhang; Jing Na Adobe PDF(3700Kb)  |  收藏  |  浏览/下载:38/19  |  提交时间:2024/01/23 Control allocation dynamic model fixed-time stabilization modular reconfigurable flight array (MRFA) sliding mode |
| Noise-Tolerant ZNN-Based Data-Driven Iterative Learning Control for Discrete Nonaffine Nonlinear MIMO Repetitive Systems 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 344-361 作者: Yunfeng Hu; Chong Zhang; Bo Wang; Jing Zhao; Xun Gong; Jinwu Gao; Hong Chen Adobe PDF(15857Kb)  |  收藏  |  浏览/下载:32/11  |  提交时间:2024/01/23 Adaptive control control system synthesis data-driven iterative learning control neurocontroller nonlinear discrete time systems |
| Adaptive Sensor-Fault Tolerant Control of Unmanned Underwater Vehicles With Input Saturation 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 907-918 作者: Xuerao Wang; Qingling Wang; Yanxu Su; Yuncheng Ouyang; Changyin Sun Adobe PDF(3677Kb)  |  收藏  |  浏览/下载:8/3  |  提交时间:2024/03/18 Asymptotic stability fault-tolerant control input saturation robust integral of the sign of error unmanned underwater vehicle |
| Data-Based Filters for Non-Gaussian Dynamic Systems With Unknown Output Noise Covariance 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 866-877 作者: Elham Javanfar; Mehdi Rahmani Adobe PDF(1291Kb)  |  收藏  |  浏览/下载:6/0  |  提交时间:2024/03/18 Data-based filter maximum likelihood estimation unknown covariance weighted maximum likelihood estimation weighted sum-of-norms clustering |
| Quantization and Event-Triggered Policy Design for Encrypted Networked Control 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 946-955 作者: Yongxia Shi; Ehsan Nekouei Adobe PDF(1715Kb)  |  收藏  |  浏览/下载:6/3  |  提交时间:2024/03/18 Cyber-security encrypted control event-triggered control (ETC) networked control systems (NCSs) semi-homomorphic encryption |
| Finite-time Prescribed Performance Time-Varying Formation Control for Second-Order Multi-Agent Systems With Non-Strict Feedback Based on a Neural Network Observer 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 1039-1050 作者: Chi Ma; Dianbiao Dong Adobe PDF(3531Kb)  |  收藏  |  浏览/下载:21/5  |  提交时间:2024/03/18 Finite-time control multi-agent systems neural network prescribed performance control time-varying formation control |
| A Novel Parameter-Optimized Recurrent Attention Network for Pipeline Leakage Detection 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 4, 页码: 1064-1076 作者: Tong Sun; Chuang Wang; Hongli Dong; Yina Zhou; Chuang Guan Adobe PDF(3211Kb)  |  收藏  |  浏览/下载:157/55  |  提交时间:2023/03/22 Anomaly-attention mechanism (AM) long short-term memory (LSTM) parameter-optimized recurrent attention network (PRAN) particle swarm optimization (PSO) pipeline leakage detection (PLD) |
| Adaptive Leader-Follower Consensus Control of Multiple Flexible Manipulators With Actuator Failures and Parameter Uncertainties 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 4, 页码: 1020-1031 作者: Yu Liu; Lin Li Adobe PDF(2935Kb)  |  收藏  |  浏览/下载:102/42  |  提交时间:2023/03/22 Actuator failures leader-follower consensus multiple flexible manipulators neural network parameter uncertainties |