IEEE

Model-Based Reinforcement Learning for Closed-Loop Dynamic Control of Soft Robotic Manipulators

Abstract: Dynamic control of soft robotic manipulators is an open problem yet to be well explored and analyzed. Most of the current applications of soft robotic manipulators utilize static or ...
IEEE

Air-Breathing Hypersonic Vehicle Tracking Control Based on Adaptive Dynamic Programming

Abstract: In this paper, we propose a data-driven supplementary control approach with adaptive learning capability for air-breathing hypersonic vehicle tracking control based on action-dependent ...
IEEE

Balancing Objective Optimization and Constraint Satisfaction in Constrained Evolutionary Multiobjective Optimization

Abstract: Both objective optimization and constraint satisfaction are crucial for solving constrained multiobjective optimization problems, but the existing evolutionary algorithms encounter ...
IEEE

Complex-Valued Convolutional Neural Network and Its Application in Polarimetric SAR Image Classification

Abstract: Following the great success of deep convolutional neural networks (CNNs) in computer vision, this paper proposes a complex-valued CNN (CV-CNN) specifically for synthetic aperture radar (SAR) ...
IEEE

Adaptive Fuzzy Output-Constrained Control for Nonlinear Stochastic Systems With Input Delay and Unknown Control Coefficients

Abstract: This article considers an adaptive fuzzy control problem for nonstrict-feedback nonlinear stochastic systems, which contain input delay, output constraints, and unknown control coefficients, ...
IEEE

Design Methodology of LLC Resonant Converters for Electric Vehicle Battery Chargers

Abstract: In this paper, an inductor–inductor–capacitor (LLC) resonant dc–dc converter design procedure for an onboard lithium-ion battery charger of a plug-in hybrid electric vehicle (PHEV) is ...
IEEE

A Review on Large Language Models: Architectures, Applications, Taxonomies, Open Issues and Challenges

Abstract: Large Language Models (LLMs) recently demonstrated extraordinary capability in various natural language processing (NLP) tasks including language translation, text generation, question ...
IEEE

Transmission–Reflection-Integrated Metasurfaces Design for Simultaneous Manipulation of Phase and Amplitude

Abstract: A kind of transmission–reflection-integrated elements and metasurfaces (MSs) are proposed to achieve full-space manipulation of amplitudes, phases, and polarization states of electromagnetic ...
IEEE

Unified Power Quality Conditioners Based Different Structural Arrangements: A Comprehensive Review

Abstract: Mitigating power quality issues in distribution systems is of utmost importance to both electricity consumers and suppliers as it improves the distribution system’s efficiency, reduces ...
IEEE

EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification

Abstract: In this paper, we present a patch-based land use and land cover classification approach using Sentinel-2 satellite images. The Sentinel-2 satellite images are openly and freely accessible, ...
IEEE

Convolutional Neural Network Based Metal Artifact Reduction in X-Ray Computed Tomography

Abstract: In the presence of metal implants, metal artifacts are introduced to x-ray computed tomography CT images. Although a large number of metal artifact reduction (MAR) methods have been proposed ...
IEEE

Prescribed Finite-Time Adaptive Neural Tracking Control for Nonlinear State-Constrained Systems: Barrier Function Approach

Abstract: The purpose of this article is to present a novel backstepping-based adaptive neural tracking control design procedure for nonlinear systems with time-varying state constraints. The designed ...