LAUSR

About LAUSR
Donate
Contact Us

Follow us:

You are not signed in:

Sign Up!


   Articles with "adaptive optimal" as a keyword



Adaptive Optimal Predictive Control Framework With Improved Prescribed Performance for Path Tracking in Underactuated Two‐Wheeled Mobile Robot

Sign Up to like & get
recommendations! Published in 2025 at "International Journal of Robust and Nonlinear Control"

DOI: 10.1002/rnc.70250

Abstract: In this paper, an adaptive optimal predictive control method based on improved prescriptive performance is proposed for the path tracking control of an underactuated two‐wheeled mobile robot. The system is challenging to control due to… read more here.

Keywords: adaptive optimal; control; prescribed performance; predictive control ... See more keywords
Photo from wikipedia

Cooperative guidance for simultaneous attack: a fully distributed, adaptive, and optimal approach

Sign Up to like & get
recommendations! Published in 2020 at "International Journal of Control"

DOI: 10.1080/00207179.2018.1533251

Abstract: ABSTRACT This paper provides a fully distributed, adaptive, and optimal approach to address the problem of simultaneous attack against a maneuvering target with multiple missiles. For the case that the target acceleration is bounded, the… read more here.

Keywords: attack; distributed adaptive; adaptive optimal; simultaneous attack ... See more keywords

Adaptive Optimal Tracking Control Via Actor-Critic-Identifier Based Adaptive Dynamic Programming for Permanent-Magnet Synchronous Motor Drive System

Sign Up to like & get
recommendations! Published in 2021 at "IEEE Transactions on Industry Applications"

DOI: 10.1109/tia.2021.3110936

Abstract: This article presents a robust adaptive optimal tracking control (RAOTC) scheme for permanent-magnet synchronous motor (PMSM) servo drive with uncertain dynamics via adaptive dynamic programming (ADP) method. First, an adaptive identifier is developed to estimate… read more here.

Keywords: control; adaptive optimal; drive; raotc scheme ... See more keywords

Adaptive Optimal Control of Networked Nonlinear Systems With Stochastic Sensor and Actuator Dropouts Based on Reinforcement Learning.

Sign Up to like & get
recommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"

DOI: 10.1109/tnnls.2022.3183020

Abstract: This article investigates the adaptive optimal control problem for networked discrete-time nonlinear systems with stochastic packet dropouts in both controller-to-actuator and sensor-to-controller channels. A Bernoulli model-based Hamilton-Jacobi-Bellman (BHJB) equation is first developed to deal with… read more here.

Keywords: control problem; control; systems stochastic; adaptive optimal ... See more keywords

Adaptive Optimal Output-Feedback Consensus Tracking Control of Nonlinear Multiagent Systems Using Two-Player Stackelberg Game

Sign Up to like & get
recommendations! Published in 2024 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"

DOI: 10.1109/tsmc.2024.3404147

Abstract: This article investigates the adaptive optimal output-feedback consensus tracking problem for nonlinear multiagent systems (MASs). Although adaptive optimal output-feedback control schemes for nonlinear systems have been developed recently, most results do not consider the two-way… read more here.

Keywords: optimal output; adaptive optimal; subsystem; output feedback ... See more keywords

Adaptive optimal control of entangled qubits

Sign Up to like & get
recommendations! Published in 2022 at "Science Advances"

DOI: 10.1126/sciadv.abq4244

Abstract: Developing fast, robust, and accurate methods for optimal control of quantum systems comprising interacting particles is one of the most active areas of current science. Although a valuable repository of algorithms is available for numerical… read more here.

Keywords: cost; control; adaptive optimal; entangled qubits ... See more keywords

Adaptive optimal output regulation for wheel-legged robot Ollie: A data-driven approach

Sign Up to like & get
recommendations! Published in 2023 at "Frontiers in Neurorobotics"

DOI: 10.3389/fnbot.2022.1102259

Abstract: The dynamics of a robot may vary during operation due to both internal and external factors, such as non-ideal motor characteristics and unmodeled loads, which would lead to control performance deterioration and even instability. In… read more here.

Keywords: output regulation; controller; wheel; adaptive optimal ... See more keywords