Tech Xplore

Reinforcement learning accelerates model-free training of optical AI systems

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
Top Speed

The Lexus Model That Stole Luxury’s Crown Without Breaking The Bank

The Lexus ES plans to continue its insane value proposition into 2026 with a bold new upgrade and fully electrified ...
EDN

Rohm launches PFC + flyback control reference design

Rohm Semiconductor has introduced a new reference design that can control two commonly used power converter types— critical conduction mode (CCM) power factor correction (PFC) and quasi-resonant ...
Electronic Design

In an Uncertain World, Adaptable Process Control is the Smart Move

How self-tuning can support an adaptive control strategy. How Model Reference Adaptive Control can improve adaptability. The different types of MRAC. A certain amount of flexibility is always good to ...
IEEE

A Novel Model Reference Adaptive Control Approach for Three-Phase Inverter Applications

Abstract: This paper presents an innovative control strategy for three-phase inverters. The proposed model reference adaptive control utilizes the Torelli Control Box (TCB) methodology, previously ...
IEEE

Multiple Model Reference Adaptive Control With Blending for Nonsquare Multivariable Systems

Abstract: In this article, we develop a multiple model reference adaptive controller (MMRAC) with blending. The systems under consideration are nonsquare, i.e., the number of inputs is not equal to ...
Frontiers

Computer vision model based robust lane detection using multiple model adaptive estimation methodology

1 MicroVision, Inc., Redmond, WA, United States 2 School of Mechanical Engineering, Purdue University in Indianapolis, Indianapolis, IN, United States Lane-keeping systems are a major part of advanced ...
Frontiers

Adaptive Parameter Modulation of Deep Brain Stimulation Based on Improved Supervisory Algorithm

Clinically deployed deep brain stimulation (DBS) for the treatment of Parkinson’s disease operates in an open loop with fixed stimulation parameters, and this may result in high energy consumption and ...