IEEE

Universal Approximation Abilities of a Modular Differentiable Neural Network

Abstract: Approximation ability is one of the most important topics in the field of neural networks (NNs). Feedforward NNs, activated by rectified linear units and some of their specific smoothed ...
IEEE

Proximity Index Value Based Systematized Approximation of Higher-Order Interconnected Power System Model

Abstract: The presented research proposal focuses on the approximation of higher-order (HO) multi-input multi-output (MIMO) interconnected power system model (IPSM) by employing systematic approach of ...
IEEE

A Numerical Approximation Approach for Deriving Computational Efficient Inverse Dynamics of 6-DOF Parallel Robots Based on Principle of Virtual Work

Abstract: The inverse dynamics of the six degree-of-freedom (6-DOF) parallel robot (PR) presents an inherent complexity due to the closed-loop kinematic chains. To derive computational efficient ...
IEEE

Gradient Approximation of Approximate Multipliers for High-Accuracy Deep Neural Network Retraining

Abstract: Approximate multipliers (AppMults) are widely employed in deep neural network (DNN) accelerators to reduce the area, delay, and power consumption. However, the inaccuracies of AppMults ...
IEEE

HV-Net: Hypervolume Approximation Based on DeepSets

Abstract: In this letter, we propose HV-Net, a new method for hypervolume approximation in evolutionary multiobjective optimization. The basic idea of HV-Net is to use DeepSets, a deep neural network ...
IEEE

Effective Streaming Low-Tubal-Rank Tensor Approximation via Frequent Directions

Abstract: Low-tubal-rank tensor approximation has been proposed to analyze large-scale and multidimensional data. However, finding such an accurate approximation is challenging in the streaming ...
IEEE

Approximation by Simple Poles—Part I: Density and Geometric Convergence Rate in Hardy Space

Abstract: Optimal linear feedback control design is a valuable but challenging problem due to the nonconvexity of the underlying optimization and the infinite dimensionality of the Hardy space of ...
IEEE

Closed-Form Approximation of the Total Variation Proximal Operator

Abstract: Total variation (TV) is a widely used function for regularizing imaging inverse problems that is particularly appropriate for images whose underlying structure is piecewise constant. TV ...
IEEE

Toward Improved Performance of Inner Convex Approximation for Suboptimal Nonlinear MPC

Abstract: Inner convex approximation is a compelling method that enables the real-time implementation of suboptimal nonlinear model predictive controls (MPCs). However, it suffers from a slow ...
IEEE

Multiquery Robotic Manipulator Task Sequencing With Gromov-Hausdorff Approximations

Abstract: Robotic manipulator applications often require efficient online motion planning. When completing multiple tasks, sequence order and choice of goal configuration can have a drastic impact on ...
IEEE

Gaussian Q Function Approximation in Wireless Communication System’s Design: A Gradient-Based Optimization Approach

Abstract: This paper proposes a novel iterative gradient-based optimization approach aimed at achieving more precise and streamlined approximations for the Gaussian Q function—an essential element in ...
IEEE

Neural Network Boundary Approximation for Uncertain Nonlinear Spatiotemporal Systems and Its Application of Tracking Control

Abstract: This brief addresses the neural network (NN) approximation problem for uncertain nonlinear systems with time-varying parameters (that is, unknown nonlinear spatiotemporal systems). Due to ...