Backstepping‐Based Composite Prescribed‐Time Control for Two‐Time‐Scale Systems
Sign Up to like & getrecommendations! Published in 2025 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.7827
Abstract: This paper explores the design of a composite prescribed‐time controller for two‐time‐scale systems (TTSSs). First, due to numerical issues caused by the small perturbation parameter, standard control design techniques for prescribed‐time stabilization of regular linear… read more here.
Keywords: time; two time; scale systems; time scale ... See more keywords
Power ramp-rates of utility-scale PV systems under passing clouds: Module-level emulation with cloud shadow modeling
Sign Up to like & getrecommendations! Published in 2020 at "Applied Energy"
DOI: 10.1016/j.apenergy.2020.114980
Abstract: Abstract The short-term power output variability of solar photovoltaic (PV) systems caused by passing clouds is becoming a major concern for grid operators. As the penetration of utility-scale PV systems boosts, the rapid power fluctuations… read more here.
Keywords: utility scale; shadow; cloud shadow; scale systems ... See more keywords
An Optimal Distributed Fault Detection Scheme for Large-Scale Systems with Deterministic Disturbances
Sign Up to like & getrecommendations! Published in 2020 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2020.12.105
Abstract: The main objective of this paper is to develop an optimal distributed fault detection (FD) approach for large-scale systems in the presence of unknown deterministic disturbances using the measurement of sensor networks. To be specific,… read more here.
Keywords: deterministic disturbances; scale systems; optimal distributed; large scale ... See more keywords
Distributed L2-gain control of large-scale systems: A space construction approach.
Sign Up to like & getrecommendations! Published in 2021 at "ISA transactions"
DOI: 10.1016/j.isatra.2021.01.025
Abstract: This note studies the distributed L2-gain control problem for discrete-time large-scale systems. The considered system is transformed equivalently to a high dimensional system. The classical controller design methods are not suitable to be applied directly… read more here.
Keywords: large scale; system; construction; distributed gain ... See more keywords
Application of physics encoded neural networks to improve predictability of properties of complex multi-scale systems
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-65304-w
Abstract: Predicting physical properties of complex multi-scale systems is a common challenge and demands analysis of various temporal and spatial scales. However, physics alone is often not sufficient due to lack of knowledge on certain details… read more here.
Keywords: multi scale; scale systems; complex multi; properties complex ... See more keywords
Analyzing of the diffusion constant on the nano-scale systems by using artificial neural networks
Sign Up to like & getrecommendations! Published in 2021 at "AIP Advances"
DOI: 10.1063/5.0067795
Abstract: The study concerning nano-scale systems is considered to highly contribute to the developments in the field of nano-technology where many models have been proposed in the literature. The information is carried by molecules in the… read more here.
Keywords: diffusion; using artificial; nano scale; diffusion constant ... See more keywords
Distributed agent-based control and estimation over unreliable networks for a class of nonlinear large-scale systems
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Control"
DOI: 10.1080/00207179.2017.1365272
Abstract: ABSTRACT A new technique for distributed estimation and control of large-scale systems is presented in this paper. The proposed method makes use of a set of agents that implement local H ∞ controllers and Luenberger-like… read more here.
Keywords: large scale; estimation; control; class nonlinear ... See more keywords
Decentralised output-feedback control design for switched fuzzy large-scale systems
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Systems Science"
DOI: 10.1080/00207721.2016.1165897
Abstract: ABSTRACT This paper investigates the output-feedback control design problem for a class of switched Takagi–Sugeno fuzzy large-scale systems with non-measurable premise variables. The considered fuzzy large-scale systems consist of several interconnected subsystems with different switching… read more here.
Keywords: large scale; output feedback; control; fuzzy large ... See more keywords
Learning-Based Pareto Optimal Control of Large-Scale Systems With Unknown Slow Dynamics
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2024.3404412
Abstract: We develop a data-driven approach to Pareto optimal control of large-scale systems, where decision makers know only their local dynamics. Using reinforcement learning, we design a control strategy that optimally balances multiple objectives. The proposed… read more here.
Keywords: control; optimal control; large scale; scale systems ... See more keywords
Event-Triggered Control of Switched Two-Time-Scale Systems With Asynchronous Switching
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2024.3441863
Abstract: This letter addresses the event-triggered control problem for uncertain switched two-time-scale systems (TTSSs) experiencing asynchronous switching. Due to ill-conditioning issues, methods developed for switched single-time-scale systems cannot be directly applied to switched TTSSs. Additionally, event-triggered… read more here.
Keywords: event triggered; control; scale systems; event ... See more keywords
Event-Triggered Robust Adaptive Dynamic Programming With Output Feedback for Large-Scale Systems
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Control of Network Systems"
DOI: 10.1109/tcns.2022.3186623
Abstract: In this article, an event-triggered output-feedback adaptive optimal control approach is proposed for large-scale systems with parametric and dynamic uncertainties through robust adaptive dynamic programming and small-gain techniques. By using the input and output data,… read more here.
Keywords: event triggered; large scale; event; scale systems ... See more keywords