比特率受限情形下基于编解码机制的跟踪控制
Encoding and Decoding Mechanism forTracking Control in Bit RateConstrained Scenarios
DOI: 10.12677/PM.2024.145193, PDF, 下载: 15  浏览: 26 
作者: 李 桓：上海理工大学理学院，上海
关键词: 跟踪控制；编解码机制；比特率约束；Tracking Control； Encoding-Decoding Mechanisms； Bit Rate Constraint
摘要: 本文研究了编码解码方案影响下一类线性离散网络的跟踪控制器的设计问题。 在设计解码方案时，考虑了比特率约束，使研究更具挑战性，井揭示了比特率约束对解码精度的影响。 设计一个跟踪控制器，利用Lyapunov泛函方法和矩阵不等式技术获得编码数据可恢复性和闭环系统输入到状态稳定的充分条件。 最后，通过一个仿真实例验证所开发的跟踪控制方案的有效性。
Abstract: This paper investigates the design problem of tracking controllers for a class of linear discrete networks under the in uence of coding and decoding schemes. Bit rate con- straints are considered in the design of the decoding scheme to make the study more challenging and to reveal the impact of bit rate constraints on the decoding accuracy. A tracking controller is designed to obtain sufficient conditions for the recoverability of the coded data and the input-to-state stability of the closed-loop system using the Lyapunov generalized method and matrix inequality techniques. Finally, the effec- tiveness of the developed tracking control scheme is verified by a simulation example.
文章引用：李桓. 比特率受限情形下基于编解码机制的跟踪控制[J]. 理论数学, 2024, 14(5): 357-376. https://doi.org/10.12677/PM.2024.145193

参考文献

[1] Li, J., Wang, J., Peng, H., et al. (2022) Fuzzy-Torque Approximation-Enhanced Sliding Mode Control for Lateral Stability of Mobile Robot. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 52, 2491-2500.
https://doi.org/10.1109/TSMC.2021.3050616
[2] He, W., Mu, X., Zhang, L., et al. (2021) Modeling and Trajectory Tracking Control for Flapping-Wing Micro Aerial Vehicles. IEEE/CAA Journal of Automatica Sinica, 8, 148-156.
https://doi.org/10.1109/JAS.2020.1003417
[3] Li, J., Wang, J., Peng, H., et al. (2020) Neural Fuzzy Approximation Enhanced Autonomous Tracking Control of the Wheel-Legged Robot under Uncertain Physical Interaction. Neuro- computing, 410, 342-353.
https://doi.org/10.1016/j.neucom.2020.05.091
[4] Wu, B. and Gao, X. (2018) Robust Attitude Tracking Control for Spacecraft with Quantized Torques. IEEE Transactions on Aerospace and Electronic Systems, 54, 1020-1028.
https://doi.org/10.1109/TAES.2017.2773273
[5] Chen, T. and Chen, G. (2018) Distributed Adaptive Tracking Control of Multiple Flexible Spacecraft under Various Actuator and Measurement Limitations. Nonlinear Dynamics, 91, 1571-1586.
https://doi.org/10.1007/s11071-017-3965-4
[6] Zhao, D., Wang, W., Liu, S., et al. (2023) PID Tracking Control under Multiple Description Encoding Mechanisms. IEEE Transactions on Systems, Man, and Cybernetics, 53, 7025-7037.
https://doi.org/10.1109/TSMC.2023.3290011
[7] Song, J., Niu, Y., Lam, J., et al. (2018) Fuzzy Remote Tracking Control for Randomly Varying Local Nonlinear Models under Fading and Missing Measurements. IEEE Transactions on Fuzzy Systems, 26, 1125-1137.
https://doi.org/10.1109/TFUZZ.2017.2705624
[8] Zhao, X., Liu, C. and Tian, E. (2020) Finite-Horizon Tracking Control for a Class of Stochastic Systems Subject to Input Constraints and Hybrid Cyber Attacks. ISA Transactions, 104, 93- 100.
https://doi.org/10.1016/j.isatra.2019.02.025
[9] Gao, H. and Chen, T. (2008) Network-Based H Output Tracking Control. IEEE Transactions on Automatic Control, 53, 655-667.
https://doi.org/10.1109/TAC.2008.919850
[10] Zhao, J., Huang, Y. and Zang, W. (2023) Optimal Prescribed Performance Tracking Control of Nonlinear Motor Driven Systems via Adaptive Dynamic Programming. Asian Journal of Control, 25, 4499-4511.
https://doi.org/10.1002/asjc.3121
[11] Kanchanaharuthai, A. (2023) Nonlinear Recursive Gain Asymptotic Tracking Controller Design for Hydraulic Turbine Regulating Systems. Asian Journal of Control, 25, 4215-4231.
https://doi.org/10.1002/asjc.3160
[12] Zhang, X., Zhuang, X., Liu, E., et al. (2023) Adaptive Neural Network Finite-Time Command Filter Tracking Control for Nonlinear Systems with Multiple Coupling High-Order Terms and Disturbances. Asian Journal of Control, 25, 4539-4550.
https://doi.org/10.1002/asjc.3105
[13] Xiao, B. and Yin, S. (2019) Exponential Tracking Control of Robotic Manipulators with Uncertain Dynamics and Kinematics. IEEE Transactions on Industrial Informatics, 15, 689-698.
https://doi.org/10.1109/TII.2018.2809514
[14] Zhang, H., Xi, R., Wang, Y., et al. (2022) Event-Triggered Adaptive Tracking Control for Random Systems with Coexisting Parametric Uncertainties and Severe Nonlinearities. IEEE Trans- actions on Automatic Control, 67, 2011-2018.
https://doi.org/10.1109/TAC.2021.3079279
[15] Wang, Y., Jiang, B., Wu, Z.G., et al. (2021) Adaptive Sliding Mode Fault-Tolerant Fuzzy Tracking Control with Application to Unmanned Marine Vehicles. IEEE Transactions on Sys- tems, Man, and Cybernetics: Systems, 51, 6691-6700.
https://doi.org/10.1109/TSMC.2020.2964808
[16] Zhao, X., Wang, X., Ma, L., et al. (2020) Fuzzy Approximation Based Asymptotic Tracking Control for a Class of Uncertain Switched Nonlinear Systems. IEEE Transactions on Fuzzy Systems, 28, 632-644.
https://doi.org/10.1109/TFUZZ.2019.2912138
[17] Li, Z.M., Chang, X.H. and Park, J.H. (2021) Quantized Static Output Feedback Fuzzy Tracking Control for Discrete-Time Nonlinear Networked Systems with Asynchronous Event-Triggered Constraints. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51, 3820-3831.
https://doi.org/10.1109/TSMC.2019.2931530
[18] Ye, D., Zou, A.M. and Sun, Z.W. (2022) Predefined-Time Predefined-Bounded Attitude Tracking Control for Rigid Spacecraft. IEEE Transactions on Aerospace and Electronic Systems, 58, 464-472.
https://doi.org/10.1109/TAES.2021.3103258
[19] Ge, X., Han, Q.L., Ding, L., et al. (2020) Dynamic Event-Triggered Distributed Coordination Control and Its Applications: A Survey of Trends and Techniques. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 50, 3112-3125.
https://doi.org/10.1109/TSMC.2020.3010825
[20] Ge, X., Han, Q.L., Zhong, M., et al. (2019) Distributed Krein Space-Based Attack Detection over Sensor Networks under Deception Attacks. Automatica, 109.
https://doi.org/10.1016/j.automatica.2019.108557
[21] Hu, J., Zhang, H., Liu, H., et al. (2021) A Survey on Sliding Mode Control for Networked Control Systems. International Journal of Systems Science, 52, 1129-1147.
https://doi.org/10.1080/00207721.2021.1885082
[22] Ju, Y., Tian, X., Liu, H., et al. (2021) Fault Detection of Networked Dynamical Systems: A Survey of Trends and Techniques. International Journal of Systems Science, 52, 3390-3409.
https://doi.org/10.1080/00207721.2021.1998722
[23] Ciuonzo, D., Aubry, A. and Carotenuto, V. (2017) Rician MIMO Channel and Jamming-Aware Decision Fusion. IEEE Transactions on Signal Processing, 65, 3866-3880.
https://doi.org/10.1109/TSP.2017.2686375
[24] Li, T. and Xie, L. (2012) Distributed Coordination of Multi-Agent Systems with Quantized- Observer Based Encoding-Decoding. IEEE Transactions on Automatic Control, 57, 3023-3037.
https://doi.org/10.1109/TAC.2012.2199152
[25] Liu, W., Wang, Z. and Ni, M. (2013) Controlled Synchronization for Chaotic Systems via Limited Information with Data Packet Dropout. Automatica, 49, 2576-2579.
https://doi.org/10.1016/j.automatica.2013.04.044
[26] Wang, L., Wang, Z., Wei, G., et al. (2019) Observer-Based Consensus Control for Discrete- Time Multiagent Systems with Coding-Decoding Communication Protocol. IEEE Transactions on Cybernetics, 49, 4335-4345.
https://doi.org/10.1109/TCYB.2018.2863664
[27] Zhou, L. and Lu, G. (2009) Detection and Stabilization for Discrete-Time Descriptor Systems via a Limited Capacity Communication Channel. Automatica, 45, 2272-2277.
https://doi.org/10.1016/j.automatica.2009.05.022
[28] Farhadi, A. and Charalambous, C.D. (2010) Stability and Reliable Data Reconstruction of Uncertain Dynamic Systems over Finite Capacity Channels. Automatica, 46, 889-896.
https://doi.org/10.1016/j.automatica.2010.02.002
[29] Savkin, A.V. and Cheng, T.M. (2007) Detectability and Output Feedback Stabilizability of Nonlinear Networked Control Systems. IEEE Transactions on Automatic Control, 52, 730-735.
https://doi.org/10.1109/TAC.2007.894542
[30] Wang, L., Wang, Z., Han, Q.L., et al. (2022) Synchronization Control for a Class of Discrete- Time Dynamical Networks with Packet Dropouts: A Coding-Decoding-Based Approachs. IEEE Transactions on Neural Networks and Learning Systems, 48, 2437-2448.
https://doi.org/10.1109/TCYB.2017.2740309
[31] Zhao, D., Wang, Z., Chen, Y., et al. (2022) Partial-Neurons-Based Proportional-Integral Observer Design for Artificial Neural Networks: A Multiple Description Encoding Scheme. IEEE Transactions on Neural Networks and Learning Systems, 35, 6393-6407.
https://doi.org/10.1109/TNNLS.2022.3209632
[32] Zhao, D., Wang, Z., Wang, L., et al. (2022) Proportional-Integral Observer Design for Multirate-Networked Systems under Constrained Bit Rate: An Encoding-Decoding Mechanism. IEEE Transactions on Cybernetics, 53, 4280-4291.
https://doi.org/10.1109/TCYB.2022.3165041
[33] Li, J.Y., Wang, Z., Lu, R., et al. (2023) Distributed Filtering under Constrained Bit Rate over Wireless Sensor Networks: Dealing with Bit Rate Allocation Protocol. IEEE Transactions on Automatic Control, 68, 1642-1654.
https://doi.org/10.1109/TAC.2022.3159486
[34] Li, J.Y., Wang, Z., Lu, R., et al. (2023) Cluster Synchronization Control for Discrete-Time Complex Dynamical Networks: When Data Transmission Meets Constrained Bit Rate. IEEE Transactions on Neural Networks and Learning Systems, 34, 2554-2568.
https://doi.org/10.1109/TNNLS.2021.3106947
[35] Li, J.Y., Wang, Z., Lu, R., et al. (2021) Partial-Nodes-Based State Estimation for Complex Networks with Constrained Bit Rate. IEEE Transactions on Network Science and Engineering, 8, 1887-1899.
https://doi.org/10.1109/TNSE.2021.3076113

为你推荐