An Optimal Tracking Performance of MIMO NCS with Quantization and Bandwidth Constraints
Sign Up to like & getrecommendations! Published in 2019 at "Asian Journal of Control"
DOI: 10.1002/asjc.1818
Abstract: This paper presents an optimal tracking performance of multiple‐input multiple‐output (MIMO) networked control systems (NCSs) with quantization and bandwidth constraints. In this study, we simultaneously consider the encoding‐decoding, quantization and bandwidth of communication channel. The… read more here.
Keywords: optimal tracking; quantization bandwidth; tracking performance; performance ... See more keywords
Optimal tracking and disturbance rejection with invariant zeros on the unit circle: a polynomial spectral factorization design
Sign Up to like & getrecommendations! Published in 2017 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2017.08.174
Abstract: Abstract We present a simple algorithm for computation of H 2 -optimal tracking and disturbance rejection controller of discrete-time systems possessing invariant zeros on the unit circle, based on polynomial spectral factorization. We prove that… read more here.
Keywords: zeros unit; unit circle; disturbance rejection; tracking disturbance ... See more keywords
Biomimetic Optimal Tracking Control using Mean Field Games and Spiking Neural Networks
Sign Up to like & getrecommendations! Published in 2020 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2020.12.2281
Abstract: This paper investigates decentralized optimal tracking control for multi-agent systems (MAS)s with a large population. Unlike conventional decentralized control, two major challenges must be addressed when the population size of the MAS is large: the… read more here.
Keywords: optimal tracking; control; neural networks; tracking control ... See more keywords
General value iteration based reinforcement learning for solving optimal tracking control problem of continuous-time affine nonlinear systems
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.03.038
Abstract: In this paper, a novel reinforcement learning (RL) based approach is proposed to solve the optimal tracking control problem (OTCP) for continuoustime (CT) affine nonlinear systems using general value iteration (VI). First, the tracking performance… read more here.
Keywords: control; control problem; affine nonlinear; tracking control ... See more keywords
Data-driven finite-horizon optimal tracking control scheme for completely unknown discrete-time nonlinear systems
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.05.026
Abstract: Abstract This paper proposes finite-horizon optimal tracking control approach based on data for completely unknown discrete-time nonlinear affine systems. First, the identifier is designed by input and output data, which is used to identify system… read more here.
Keywords: system; control; time; tracking control ... See more keywords
Data-driven optimal tracking control of discrete-time linear systems with multiple delays via the value iteration algorithm
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Systems Science"
DOI: 10.1080/00207721.2022.2060366
Abstract: In this paper, the optimal tracking problem for discrete-time linear systems with multiple delays is studied without system dynamics. It is known that the total state of a system without specific dynamic characteristics is hard… read more here.
Keywords: system; time; optimal tracking; discrete time ... See more keywords
Data-based optimal tracking of autonomous nonlinear switching systems
Sign Up to like & getrecommendations! Published in 2021 at "IEEE/CAA Journal of Automatica Sinica"
DOI: 10.1109/jas.2020.1003486
Abstract: In this paper, a data-based scheme is proposed to solve the optimal tracking problem of autonomous nonlinear switching systems. The system state is forced to track the reference signal by minimizing the performance function. First,… read more here.
Keywords: optimal tracking; nonlinear switching; switching systems; data based ... See more keywords
Computation-Efficient Online Optimal Tracking Method for Permanent Magnet Synchronous Machine Drives for MTPA and Flux-Weakening Operations
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal of Emerging and Selected Topics in Power Electronics"
DOI: 10.1109/jestpe.2020.3039205
Abstract: In this article, a novel online optimal tracking method is proposed for permanent magnet synchronous machine drives for maximum torque per ampere (MTPA) and flux-weakening (FW) operations. The conventional model-based optimal tracking methods impose heavy… read more here.
Keywords: tracking method; permanent magnet; magnet synchronous; synchronous machine ... See more keywords
Optimal Tracking for Periodic Linear Hybrid Systems
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2022.3195472
Abstract: This article provides a comprehensive characterization of the quadratic optimal tracking problem for hybrid systems with linear dynamics undergoing periodic time-driven jumps. Solutions to such a problem are proposed for both the finite horizon and… read more here.
Keywords: tracking periodic; linear hybrid; optimal tracking; control ... See more keywords
Distributed Optimal Tracking Control of Discrete-Time Multiagent Systems via Event-Triggered Reinforcement Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2022.3177407
Abstract: In this paper, an event-triggered optimal tracking control of discrete-time multi-agent systems is addressed by using reinforcement learning. In contrast to traditional reinforcement learning-based methods for optimal coordination and control of multi-agent systems with a… read more here.
Keywords: event triggered; time; reinforcement learning; optimal tracking ... 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 & getrecommendations! 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