Speed observer of induction machine based on backstepping and sliding mode for low‐speed operation
Sign Up to like & getrecommendations! Published in 2020 at "Asian Journal of Control"
DOI: 10.1002/asjc.2244
Abstract: This paper presents a speed observer design based on backstepping and sliding mode approaches. The inputs to the observer are the stator current and the voltage vector components. This observer structure is extended to the… read more here.
Keywords: based backstepping; speed; sliding mode; speed observer ... See more keywords
Robust Flight Control Design Using Sensor-Based Backstepping Control for Unmanned Aerial Vehicles
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Aerospace Engineering"
DOI: 10.1061/(asce)as.1943-5525.0000783
Abstract: AbstractThe sensor-based backstepping control law, which is not sensitive to model uncertainty, uses less model knowledge and the measurements of state derivatives. A flight control law based on a ... read more here.
Keywords: control; sensor based; backstepping control; flight control ... See more keywords
Advanced Kalman Filter-Based Backstepping Control of AC Microgrids: A Command Filter Approach
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Systems Journal"
DOI: 10.1109/jsyst.2022.3221522
Abstract: The stability of alternating current microgrids (ac MGs) is significantly affected by the procedure of collecting precise and sufficient information of the system and tightly controlling power inverters. Whereas using many sensors increases ac MG… read more here.
Keywords: time; filter based; filter; kalman filter ... See more keywords
Game-Based Backstepping Design for Strict-Feedback Nonlinear Multi-Agent Systems Based on Reinforcement Learning.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3177461
Abstract: In this article, the game-based backstepping control method is proposed for the high-order nonlinear multi-agent system with unknown dynamic and input saturation. Reinforcement learning (RL) is employed to get the saddle point solution of the… read more here.
Keywords: nonlinear multi; game based; reinforcement learning; game ... See more keywords