3 research outputs found
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Security-Guaranteed Fuzzy Networked State Estimation for 2-D Systems with Multiple Sensor Arrays Subject to Deception Attacks
National Natural Science Foundation of China (Grant Number: 61903254, 61933007, U21A2019 and 12171124);
Hainan Province Science and Technology Special Fund of China (Grant Number: ZDYF2022SHFZ105);
Natural Science Foundation of Heilongjiang Province of China (Grant Number: ZD2022F003);
Royal Society of the UK, and the Alexander von Humboldt Foundation of Germany
Structure-Preserving Model Reduction of Physical Network Systems
This paper considers physical network systems where the energy storage is naturally associated to the nodes of the graph, while the edges of the graph correspond to static couplings. The first sections deal with the linear case, covering examples such as mass-damper and hydraulic systems, which have a structure that is similar to symmetric consensus dynamics. The last section is concerned with a specific class of nonlinear physical network systems; namely detailed-balanced chemical reaction networks governed by mass action kinetics. In both cases, linear and nonlinear, the structure of the dynamics is similar, and is based on a weighted Laplacian matrix, together with an energy function capturing the energy storage at the nodes. We discuss two methods for structure-preserving model reduction. The first one is clustering; aggregating the nodes of the underlying graph to obtain a reduced graph. The second approach is based on neglecting the energy storage at some of the nodes, and subsequently eliminating those nodes (called Kron reduction).</p
Modelling, Monitoring, Control and Optimization for Complex Industrial Processes
This reprint includes 22 research papers and an editorial, collected from the Special Issue "Modelling, Monitoring, Control and Optimization for Complex Industrial Processes", highlighting recent research advances and emerging research directions in complex industrial processes. This reprint aims to promote the research field and benefit the readers from both academic communities and industrial sectors