Kehan Wu's research while affiliated with State Grid Electric Power Research Institute and other places

This paper investigates iterative learning control for Caputo fractional-order systems with one-sided Lipschitz nonlinearity. Both open- and closed-loop P-type learning algorithms are proposed to achieve perfect tracking for the desired trajectory, and their convergence conditions are established. It is shown that the algorithms can make the output tracking error converge to zero along the iteration axis. A simulation example illustrates the application of the theoretical findings, and shows the effectiveness of the proposed approach.

The conventional multi-objective location method of distributed generation mainly uses the static stability index to determine the load of distributed generation, which is vulnerable to the impact of load timing characteristics, resulting in a high active power loss of different nodes. Therefore, it is necessary to design the multi-objective location method of small-capacity distributed power sources based on the timing characteristics. That is, the multi-objective location algorithm of small capacity distributed generation is designed based on the multi-objective function, and the multi-objective location model of small capacity distributed generation is constructed according to the timing characteristics to achieve the multi-objective location of small capacity distributed generation. The experimental results show that the designed multi-objective location method has low active power loss, which proves that the designed location method has good location effect, energy saving and certain application value, and has made a certain contribution to saving the comprehensive operation cost of distributed power generation.

The control of fractional-order (FO) delayed systems is important in real-world applications, but it is still a challenging task. This paper studies the output-feedback-guaranteed cost control of a class of FO uncertain linear systems with time delay. Norm-bounded and time-varying parameter uncertainties are considered. A new definition of guaranteed cost control of FO system is proposed. Additionally, static and dynamic output-feedback delay-independent guaranteed cost controllers are designed. Two numerical examples are presented showing the effectiveness of the proposed schemes.