Results 241 to 250 of about 19,448,095 (300)

Fluorescent-target imaging and real-time beam diagnostics at the High Energy Photon Source. [PDF]

J Synchrotron Radiat
Zhang Q, Zhao Y, Liu Y, Gu Z, Liu S, Duan Q, Li G, Zhang Y, Zhang C.   +8 more
europepmc   +1 more source

Interoceptive autonomic regulation in typical development and autism spectrum disorder: A computational model integrating multiple physiological systems. [PDF]

PLoS One
Li R, Liu H, Nagai Y.
europepmc   +1 more source

Network-Aware Control Barrier Functions for Resilient Microgrids Under Stealthy Drift Attacks. [PDF]

Sensors (Basel)
Ohemeng MO, Sheldon FT.
europepmc   +1 more source

A Privacy-Preserving Artificial Intelligence-Driven Sensing System for Distributed Multimodal Risk Detection. [PDF]

Sensors (Basel)
Zhu Y, Song Y, Xuan Y, Song Y, Pu J, Li J, Li M.   +6 more
europepmc   +1 more source

Reclaiming time as a fundamental determinant of health equity. [PDF]

SSM Popul Health
Valente B.
europepmc   +1 more source

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Parallel Control of Distributed Parameter Systems

IEEE Transactions on Cybernetics, 2018
In this paper, we study the control problems of distributed parameter systems, and discuss the limitations of traditional control methods. In recent years, social factors have gradually become an essential parameter of system modeling. For complex distributed parameter systems, the accurate modeling becomes difficult.
Yuhua Song, Xiuyu He, Zhijie Liu 0001, Wei He 0001, Changyin Sun 0001, Fei-Yue Wang 0001   +5 more
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DESIGN OF DISTRIBUTED PARAMETER SYSTEMS OF CONTROL

IFAC Proceedings Volumes, 1994
Distributed parameter systems in engineering practice can be very often interpreted as lumped input and distributed output systems. Lumped input and distributed output systems theory results offer practically the same possibilities for distributed parameter systems control as lumped parameter systems control theory for lumped parameter systems. In this
G. Hulkó, M. Antoniová, J. Belanský, C. Belavý, J. Szuda   +4 more
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PARAMETER ESTIMATION AND CONTROL FOR DISTRIBUTED SYSTEMS

IFAC Proceedings Volumes, 1979
Abstract The parameter estimation and control problem for linear distributed systems is considered. Adopting a linearization technique based on a perturbation theory for semigroups, an identification method is proposed. This method is in turn embedded in an overall algorithm which sequentially updates the parameter estimates and system inputs to give
E.P. Ryan, A. Ichikawa
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