Gang Bao, Yide Zhang and Zhigang Zeng, "Memory Analysis for Memristors and Memristive Recurrent Neural Networks,"   IEEE/CAA J. Autom. Sinica, vol. 7, no. 1, pp. 96-105, Jan. 2020. 

This paper focuses on the memory analysis, i.e., the initial value computation, of memristors. Firstly, we present the memory analysis for a single memristor based on memristors' mathematical models with linear and nonlinear drift. Secondly, we present the memory analysis for two memristors in series and parallel. Thirdly, we point out the difference between traditional neural networks and those that are memristive. Based on the current and voltage relationship of memristors, we use mathematical analysis and SPICE simulations to demonstrate the validity of our methods.

Jiankun Sun, Jun Yang and Shihua Li, "Reduced-Order GPIO Based Dynamic Event-Triggered Tracking Control of a Networked One-DOF Link Manipulator Without Velocity Measurement," IEEE/CAA J. Autom. Sinica, vol. 7, no. 3, pp. 725-734, May 2020.

This paper proposes a novel dynamic event-triggered robust tracking control method for a one-degree of freedom (DOF) link manipulator with external disturbance and system uncertainties via a reduced-order generalized proportional-integral observer (GPIO). To save the communication resources, we propose a discrete-time dynamic event-triggering mechanism (DETM), where the estimates and the control signal are transmitted and computed only when the proposed discrete-time DETM is violated. It is shown that with the proposed control method, both tracking control properties and communication properties can be significantly improved. 

Jiyuan Tan, Chunling Xu, Li Li, Fei-Yue Wang, Dongpu Cao and Lingxi Li, "Guidance Control for Parallel Parking Tasks," IEEE/CAA J. Autom. Sinica, vol. 7, no. 1, pp. 301-306, Jan. 2020.

In this paper, a new automatic parking method is presented, which could characterize the desired control actions directly. Then the feasibility is examined carefully. Tests show that a simple parking guidance control strategy can work in most parallel parking tasks, if the available parking berth is not too small. This finding helps to build more concise automatic parking systems that can efficiently guide human drivers.

Xian-Ming Zhang, Qing-Long Han, Xiaohua Ge, Derui Ding, Lei Ding, Dong Yue and Chen Peng, "Networked Control Systems: A Survey of Trends and Techniques," IEEE/CAA J. Autom. Sinica, vol. 7, no. 1, pp. 1-17, Jan. 2020.

This paper aims at presenting a survey of trends and techniques in networked control systems from the perspective of ‘control over networks’, providing a snapshot of five control issues: sampled-data control, quantization control, networked control, event-triggered control, and security control. Some challenging issues are suggested to direct the future research.

Chengdong Li, Jianqiang Yi, Yisheng Lv and Peiyong Duan, "A Hybrid Learning Method for the Data-Driven Design of Linguistic Dynamic Systems," IEEE/CAA J. Autom. Sinica, vol. 6, no. 6, pp. 1487-1498, Nov. 2019.

This paper first presents a simplified LDS whose inputoutput mapping can be determined by closed-form formulas. Then, a hybrid learning method is proposed to construct the data-driven LDS model. The proposed approach is successfully applied to three real-world prediction applications which are: prediction of energy consumption of a building, forecasting of the traffic flow, and prediction of the wind speed. Simulation results show that the uncertainties in the data can be effectively captured by the linguistic (fuzzy) estimates. It can also be extended to some other prediction or modeling problems, in which observed data have high levels of uncertainties.

Juan Chen, Baotong Cui, YangQuan Chen and Bo Zhuang, "An Improved Cooperative Team Spraying Control of a Diffusion Process With a Moving or Static Pollution Source," IEEE/CAA J. Autom. Sinica, vol. 7, no. 2, pp. 494-504, Mar. 2020. 

The major contribution of this paper can be divided into three parts: the first is the construction of a cyber-physical system framework based on centroidal Voronoi tessellations (CVTs), the second is the convergence analysis of the actuators location, and the last is a novel proportional integral (PI) control method for actuator motion planning and neutralizing control (e.g., spraying) of a diffusion process with a moving or static pollution source, which is more effective than a proportional (P) control method. In addition, a numerical simulation example for the diffusion process is presented to verify the effectiveness of our proposed controllers.