IEEE

LSTM-MPC: A Deep Learning Based Predictive Control Method for Multimode Process Control

Abstract: Modern industrial processes often operate under different modes, which brings challenges to model predictive control (MPC). Recently, most MPC related methods would establish prediction ...
IEEE

Observer-Based Adaptive Fuzzy Tracking Control for Strict-Feedback Nonlinear Systems With Unknown Control Gain Functions

Abstract: This article investigates the adaptive fuzzy output-feedback backstepping control design problem for uncertain strict-feedback nonlinear systems in the presence of unknown virtual and actual ...
IEEE

From Cloud Down to Things: An Overview of Machine Learning in Internet of Things

Abstract: With the numerous Internet of Things (IoT) devices, the cloud-centric data processing fails to meet the requirement of all IoT applications. The limited computation and communication ...
IEEE

State Calculation, Analysis, and High-Precision Location Diagnostic Method for Irreversible Demagnetization in SPMSM

Abstract: This work proposes an improved analytical model and a novel location method for irreversible demagnetization (ID). The analytical model accounts for the nonlinearities from the ...
IEEE

A Review on Machine Learning for EEG Signal Processing in Bioengineering

Abstract: Electroencephalography (EEG) has been a staple method for identifying certain health conditions in patients since its discovery. Due to the many different types of classifiers available to ...
IEEE

Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications

Abstract: This paper provides an overview of the Internet of Things (IoT) with emphasis on enabling technologies, protocols, and application issues. The IoT is enabled by the latest developments in ...
IEEE

Low-Carbon Economic Dispatch Method for Integrated Energy System Considering Seasonal Carbon Flow Dynamic Balance

Abstract: In order to solve the problems of excessive carbon emissions and environmental pollution caused by the current carbon trading policy, this paper breaks the traditional annual carbon trading ...
IEEE

A Novel Adaptive Fuzzy Control Scheme for a Class of Nonlinear Planar Systems Under State Constraints

Abstract: The adaptive fuzzy control method has been widely used in the control of nonlinear systems. The system state is required to stay in a compact set for the effectiveness of the fuzzy logic ...
IEEE

An Accelerated Approach on Adaptive Gradient Neural Network for Solving Time-Dependent Linear Equations: A State-Triggered Perspective

Abstract: To improve the acceleration performance, a hybrid state-triggered discretization (HSTD) is proposed for the adaptive gradient neural network (AGNN) for solving time-dependent linear ...
IEEE

Physics-Informed Neural Networks for Solving Forward and Inverse Problems in Complex Beam Systems

Abstract: This article proposes a new framework using physics-informed neural networks (PINNs) to simulate complex structural systems that consist of single and double beams based on Euler–Bernoulli ...
IEEE

PA-DETR: End-to-End Visually Indistinguishable Bolt Defects Detection Method Based on Transmission Line Knowledge Reasoning

Abstract: A transmission line is the lifeline of a power system, while bolts play the role of connecting fittings and tightening conductors. However, bolts at different positions have different ...
IEEE

Finite-Time Control of a Linear Motor Positioner Using Adaptive Recursive Terminal Sliding Mode

Abstract: Payload variations, friction, and external disturbances deteriorate the control performance of linear motor (LM) positioners. To provide high-speed and high-precision performance for the LM, ...