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IDENTIFICATION OF SYSTEM PARAMETERS IN DISTRIBUTED PARAMETER SYSTEMS
IFAC Proceedings Volumes, 1990The problem of identifying system parameters for time-invariant distributed parameter systems subject to unknown boundary conditions and initial conditions is investigated. An extension of the linear integral filter is made for handling partial derivatives of multi-variable functions. In the noise-free case, applying the extended linear integral filter
S. Sagara, Zhen-Yu Zhao
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OBSERVERS FOR DISTRIBUTED-PARAMETER SYSTEMS
IFAC Proceedings Volumes, 1989This paper introduces a series of problems on state estimation for parabolic systems on the basis of measurements generated by sensors in the presence of unknown but bounded disturbances. Observability issues and relations to stochastic filtering schemes for distributed processes are also discussed.
Kurzhanski, A.B., Khapalov, A.Y.
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A distributed parameter system simulator
SIMULATION, 1986A simple and easy-to-use computer simulator (TDP) t for distrib uted parameter systems is presented. The simulator is based on commercially available TWODEPEP (a partial differential equa tion solver), to which measurement and control software mod ules have been added.
Matti Aaltonen +2 more
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IEEE Transactions on Industrial Informatics, 2019
Time/space separation based spatiotemporal modeling methods have been proven to be effective and efficient for modeling a class of distributed parameter systems (DPSs).
Bing-chuan Wang, Han-xiong Li
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Time/space separation based spatiotemporal modeling methods have been proven to be effective and efficient for modeling a class of distributed parameter systems (DPSs).
Bing-chuan Wang, Han-xiong Li
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Incremental Spatiotemporal Learning for Online Modeling of Distributed Parameter Systems
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019An incremental spatiotemporal learning scheme is proposed for online modeling of distributed parameter systems (DPSs). A novel incremental learning method is developed to recursively update the spatial basis functions and the corresponding temporal model
Zhi Wang, Han-Xiong Li
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Adaptive Neural Boundary Control Design for Nonlinear Flexible Distributed Parameter Systems
IEEE Transactions on Control Systems Technology, 2019This paper proposes an adaptive neural boundary feedback control design for a nonlinear flexible distributed parameter system described by a nonuniform wave equation containing an unknown nonlinear function in the boundary conditions.
Jun‐Wei Wang +2 more
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Detection and Spatial Identification of Fault for Parabolic Distributed Parameter Systems
IEEE transactions on industrial electronics (1982. Print), 2019In this paper, a novel method is developed to detect fault and identify its spatial location for a class of parabolic distributed parameter systems (DPSs) with limited sensors. The normal situation of the DPSs is first modeled under limited sensors. Then,
Yun Feng, Han-xiong Li
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Journal of the Franklin Institute, 2019
Most of the available results of iterative learning control (ILC) are that solve the consensus problem of lumped parameter models multi-agent systems. This paper considers the consensus control problem of distributed parameter models multi-agent systems ...
Xisheng Dai +3 more
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Most of the available results of iterative learning control (ILC) are that solve the consensus problem of lumped parameter models multi-agent systems. This paper considers the consensus control problem of distributed parameter models multi-agent systems ...
Xisheng Dai +3 more
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Distributed Parameter Modeling and Boundary Control of an Octopus Tentacle-Inspired Soft Robot
IEEE Transactions on Control Systems Technology, 2021Inspired by soft organisms in nature, engineers have been exploring the mechanical design of soft robots manufactured by compliant materials. However, some limitations still exist in the modeling and control of soft robots.
Zhiji Han, Zhijie Liu, W. He, Guang Li
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Parameters for distributed system design
Journal of Parallel and Distributed Computing, 1990Abstract This paper analyzes the architectural choices which limit a system's ability to achieve specific design goals. A “layered black box” methodology for the analysis of distributed systems is introduced which allows the easy definition and manipulation of abstract systems.
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