[HTML][HTML] A survey on clustering methods for distributed and networked control systems
Clustering strategies are becoming increasingly relevant to boost the scalability of
distributed control methods by focusing the cooperation efforts on highly coupled agents …
distributed control methods by focusing the cooperation efforts on highly coupled agents …
Modeling and decentralized predictive control of ejector circulation-based PEM fuel cell anode system for vehicular application
The dynamic response of fuel cell vehicle is greatly affected by the pressure of reactants.
Besides, the pressure difference between anode and cathode will also cause mechanical …
Besides, the pressure difference between anode and cathode will also cause mechanical …
Model predictive control for switched systems with a novel mixed time/event-triggering mechanism
This paper investigates observer-based model predictive control (MPC) for switched
systems with a mixed time/event-triggering mechanism. The problem of predictive control …
systems with a mixed time/event-triggering mechanism. The problem of predictive control …
A light clustering model predictive control approach to maximize thermal power in solar parabolic-trough plants
This article shows how coalitional model predictive control (MPC) can be used to maximize
thermal power of large-scale solar parabolic-trough plants. This strategy dynamically …
thermal power of large-scale solar parabolic-trough plants. This strategy dynamically …
Supervised model predictive control of large‐scale electricity networks via clustering methods
A La Bella, P Klaus, G Ferrari‐Trecate… - Optimal Control …, 2022 - Wiley Online Library
This article describes a control approach for large‐scale electricity networks, with the goal of
efficiently coordinating distributed generators to balance unexpected load variations with …
efficiently coordinating distributed generators to balance unexpected load variations with …
Resource limited event-triggered model predictive control for continuous-time nonlinear systems based on first-order hold
A Li, J Sun - Nonlinear Analysis: Hybrid Systems, 2023 - Elsevier
This paper investigates a resources-limited situation in the event-triggered model predictive
control (ETMPC) for continuous-time nonlinear system with first-order hold fashion. In …
control (ETMPC) for continuous-time nonlinear system with first-order hold fashion. In …
Stability Analysis and Incipient Fault Tolerant Control for Multiple-output Wireless Power Transfer Systems
This paper investigates the incipient fault diagnosis problem of the multiple-output wireless
power transfer system (MWPTS). And the MWPTS described in this paper has nonlinearity …
power transfer system (MWPTS). And the MWPTS described in this paper has nonlinearity …
Data-Based Modeling of a Nonexplicit Two-Time Scale Process via Multiple Time-Scale Recurrent Neural Networks
NL Jian, H Zabiri, M Ramasamy - Industrial & Engineering …, 2022 - ACS Publications
Modern chemical process plants are typically very complex in nature due to the various
material and energy recycling streams, including the implementation of process …
material and energy recycling streams, including the implementation of process …
PnP Operations to Maintain Persistent Feasibility in Linear Constrained Systems
RA Hall, L Bridgeman - IFAC-PapersOnLine, 2023 - Elsevier
Multi-agent systems often have high dimensional state and input spaces that change rapidly
as agents join and leave the system. The plug-and-play (PnP) design paradigm provides a …
as agents join and leave the system. The plug-and-play (PnP) design paradigm provides a …
Event‐triggered model predictive control of switched systems with denial‐of‐service attacks
J Yan, L Shi, Y Xia, Y Zhang - Asian Journal of Control, 2023 - Wiley Online Library
Observer‐based model predictive control (MPC) for the discrete‐time switched systems
suffered by event‐triggered mechanism and denial‐of‐service (DoS) attacks is discussed in …
suffered by event‐triggered mechanism and denial‐of‐service (DoS) attacks is discussed in …