Abstract: When, in 1956, Artificial Intelligence (AI) was officially declared a research field, no one would have ever predicted the huge influence and impact its description, prediction, and ...
Abstract: This survey provides a brief overview on the control Lyapunov function (CLF) and control barrier function (CBF) for general nonlinear-affine control systems. The problem of control is ...
Abstract: Accurate load forecasting is the key to economic dispatch and efficient operation of Multi-Energy System (MES). This paper proposes a combined load forecasting method for MES based on ...
Adaptive Neural Network Control for a Class of Nonlinear Systems With Function Constraints on States
Abstract: In this article, the problem of tracking control for a class of nonlinear time-varying full state constrained systems is investigated. By constructing the time-varying asymmetric barrier ...
Abstract: In the modern power grid, distributed generators are widely connected to the grid via voltage source converters (VSCs). Analyzing the transient stability of VSCs under large disturbances is ...
Abstract: A structure of low-altitude airspace for efficient unmanned aerial vehicle (UAV) traffic management is defined in this standard. The standard elaborates the structural low altitude based on ...
Abstract: This article investigates the event-triggered impulsive control (ETIC) problem for a class of nonlinear time-delay systems subject to exogenous disturbances. An original event-triggered ...
Abstract: Identification of underground formation lithology from well-log data is an important task in petroleum exploration and engineering. Due to the cost or imprecision of some methods applied in ...
Abstract: Although the field of distributed optimization is well developed, relevant literature focused on the application of distributed optimization to multi-robot problems is limited. This survey ...
Abstract: This article develops a new trustworthy fault diagnosis (TFD) method based on belief rule base expert system with multisource uncertainty information (BRB-MU) for a vehicle, such as a flying ...
Abstract: Thanks to the line-of-sight (LoS) transmission and flexibility, unmanned aerial vehicles (UAVs) effectively improve the throughput of wireless networks. Nevertheless, the LoS links are prone ...
Abstract: In the development process of noise-reduction algorithms, an objective machine-driven intelligibility measure which shows high correlation with speech intelligibility is of great interest.
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