IEEE

Neural Adaptive Fixed-Time Control for Nonlinear Systems With Full-State Constraints

Abstract: This article aims at this problem of adaptive neural tracking control for state-constrained systems. A general fixed-time stability criterion is first presented, by which an adaptive neural ...
IEEE

Irreversibility and Heat Generation in the Computing Process

Abstract: It is argued that computing machines inevitably involve devices which perform logical functions that do not have a single-valued inverse. This logical irreversibility is associated with ...
IEEE

A review of mobile robot motion planning methods: from classical motion planning workflows to reinforcement learning-based architectures

Abstract: Motion planning is critical to realize the autonomous operation of mobile robots. As the complexity and randomness of robot application scenarios increase, the planning capability of the ...
IEEE

False Data-Injection Attack Detection in Cyber–Physical Systems With Unknown Parameters: A Deep Reinforcement Learning Approach

Abstract: This article studies the detection of discontinuous false data-injection (FDI) attacks on cyber–physical systems (CPSs). Considering the unknown stochastic properties of the process noise ...
IEEE

Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions

Abstract: This article presents a comprehensive overview of the digital twin technology and its capability levels, with a specific focus on its applications in the wind energy industry. It ...
IEEE

A Survey on Demand Response in Smart Grids: Mathematical Models and Approaches

Abstract: The smart grid is widely considered to be the informationization of the power grid. As an essential characteristic of the smart grid, demand response can reschedule the users' energy ...