本期导读

主题

工业 5.0、多智能体系统、医疗保健物联网、非线性函数、质量预测、软传感器、模式挖掘、无人驾驶飞行器、视觉物体跟踪、知识转移、模糊优化鲁棒控制、约束优化、分布式估计...

全球科研机构

美国University of Southern California、Indiana University-Purdue University Indianapolis；英国University of Cambridge；意大利Polytechnic of Bari；澳大利亚Griffith University、CSIRO Data61；新加坡Nanyang Technological University；瑞典KTH Royal Institute of Technology；西班牙University of Seville；清华大学、北京大学、中国科学院自动化研究所、北京航空航天大学、北京理工大学、中南大学、中国农业大学、北方工业大学、东南大学、郑州大学...

L. Vlacic, H. Huang, M. Dotoli, Y. Wang, P. Ioannou, L. Fan, X. Wang, R. Carli, C. Lv, L. Li, X. Na, Q.-L. Han, and F.-Y. Wang, “Automation 5.0: The key to systems intelligence and Industry 5.0,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 8, pp. 1723-1727, Aug. 2024. 

D. Wang, W. Chen, and  L. Qiu,  “The first five years of a phase theory for complex systems and networks,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 8, pp. 1728–1743, Aug. 2024. 

> Matrix phases and their properties.

> The MIMO LTI system phase response, its physical interpretations, the small phase theorem, and the sectored real lemma.

> The synchronization of a multi-agent network using phase alignment.

O. Castillo, F. Valdez, P. Melin, and  W. Ding,  “A survey on type-3 fuzzy logic systems and their control applications,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 8, pp. 1744–1756, Aug. 2024. 

> A review on type-3 fuzzy logic in control applications is presented.

> Future trends for type-3 fuzzy control are outlined.

> Hybrid approaches with type-3 fuzzy in control are reviewed.

M. Qi, Z. Wang, Q.-L. Han, J. Zhang, S. Chen, and  Y. Xiang,  “Privacy protection for blockchain-based healthcare IoT systems: A survey,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 8, pp. 1757–1776, Aug. 2024. 

> The privacy challenges in IoHT are not well identified and analyzed in existing related surveys.

> There is a lack of comprehensive survey of blockchain-based IoHT systems.

> Privacy-preserving techniques based on blockchain for IoHT are not reviewed thoroughly in current work.

X. Yuan, W. Xu, Y. Wang, C. Yang, and  W. Gui,  “A deep residual PLS for data-driven quality prediction modeling in industrial process,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 8, pp. 1777–1785, Aug. 2024. 

> A DRPLS framework is proposed for quality prediction in industrial process.

> For the stacked PLSs in DRPLS, the input residuals of the previous PLS are used as the layer connection.

> Nonlinear function is applied to the input residuals before inputting them to the next PLS.

S. Qi, R. Wang, T. Zhang, W. Huang, F. Yu, and  L. Wang,  “Enhancing evolutionary algorithms with pattern mining for sparse large-scale multi-objective optimization problems,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 8, pp. 1786–1801, Aug. 2024. 

> Propose a new MOEAs, named FPMs, based on frequent pattern mining.

> Integrate association rule mining into SLMOEAs to investigate the interdependence between decision variables (ARM).

> Building on the FPM and ARM techniques, we propose EPMEA, an algorithm for addressing SLMOPs by integrating pattern mining methodologies.

M. Vargas, C. Vivas, and  T. Alamo,  “Optimal positioning strategy for multi-camera zooming drones,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 8, pp. 1802–1818, Aug. 2024. 

> Proposes the optimal positioning of an autonomous aerial agent for multi-target tracking.

> Introduces novel approach by integrating multiple independently-steerable zooming cameras.

> The objective is the effective monitoring of multiple interest targets in a flexible way.

K.  Qiao, J. Liang, K. Yu, X. Ban, C. Yue, B. Qu, and  P. Suganthan,  “Constraints separation based evolutionary multitasking for constrained multi-objective optimization problems,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 8, pp. 1819–1835, Aug. 2024.

> A new multitasking-based constrained multi-objective algorithm CSEMT is proposed.

> A constraints separation-based auxiliary task creation method is designed.

> An auxiliary task priority method is created to analyze the relationships among tasks.

W. Qian, Y. Wu, and  B. Shen,  “Novel adaptive memory event-triggered-based fuzzy robust control for nonlinear networked systems via the differential evolution algorithm,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 8, pp. 1836–1848, Aug. 2024. 

> An adaptive memory event-triggered is designed to reduce communication resource waste.

> A new method of fuzzy controller design is given based on the information of membership functions.

> An online membership functions iteration policy is proposed to get better control performance.

X. Shi, X. Xu, G. Wen, and  J. Cao,  “Fixed-time gradient flows for solving constrained optimization: A unified approach,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 8, pp. 1849–1864, Aug. 2024. 

> Design several FxTGFs under the Polyak-Lojasiewicz condition.

> A specific class of nonsmooth robust FxTGFs with disturbance rejection is presented.

> An FxTGF with relaxed parameters is provided for nonsmooth composite optimization.

W. Sun, X. Gao, L. Ding, and  X. Chen,  “Distributed fault estimation for nonlinear systems with sensor saturation and deception attacks using stochastic communication protocols,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 8, pp. 1865–1876, Aug. 2024. 

> Studies the distributed fault estimation issue associated with the potential loss of actuator efficiency for a type of discrete-time nonlinear systems with sensor saturation, and SCP is employed so that the output signals from sensors can be selected.

Q. Hu, J. Liu, and Z. Zuo, “A probabilistic approach for predicting vessel motion,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 8, pp. 1877–1879, Aug. 2024. 

Z.-H. Pang, Y. Zhang, X. Sun, S. Gao, and G.-P. Liu, “Data-driven adaptive predictive control method with autotuned weighting factor for nonlinear systems using triangular dynamic linearization,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 8, pp. 1880–1882, Aug. 2024. 

R. Zhang, S. Yang, and S. Feng, “Stability analysis of a class of nonlinear fractional differential systems with Riemann-Liouville derivative,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 8, pp. 1883–1885, Aug. 2024. 

A. Wang, M. Fei, D. Du, and Y. Song, “A novel scalable fault-tolerant control design for DC microgrids with nonuniform faults,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 8, pp. 1886–1888, Aug. 2024. 

L. Shi, C. Tong, T. Lan, and X. Shi, “Statistical process monitoring based on ensemble structure analysis,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 8, pp. 1889–1891, Aug. 2024. 

T. Chen, R. Zhao, J. Chen, and Z. Zhang, “Data-driven active disturbance rejection control of plant-protection unmanned ground vehicle prototype: A fuzzy indirect iterative learning approach,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 8, pp. 1892–1894, Aug. 2024.