Results 21 to 30 of about 184,554 (316)
IEEE Access, 2020 This article investigates the trajectory tracking problem of quadrotor formation with collision avoiding. The safety distributed control strategy is introduced for quaternion-based multiple quadrotors formation to avoid collision.
Guowei Zhang +4 more
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IET Control Theory & Applications, 2021 This article discusses the exponential synchronisation problem for multiple neural networks with time‐varying delay and a more general non‐Laplacian coupling matrix is considered.
Xiaoli Ruan +4 more
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Distributed Estimation and Control in Networked Systems [PDF]
, 2006 Rapid advances in information processing, communication and sensing technologies have enabled more and more devices to be provided with embedded processors, networking capabilities and sensors.
Gupta, Vijay, Vijay Gupta
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Iterative Learning Control for MIMO Singular Distributed Parameter Systems
IEEE Access, 2017 This paper deals with the iterative learning control issue for multi-input multi-output singular distributed parameter systems (SDPSs) with parabolic and hyperbolic type, which described by coupled partial differential equations with singular matrix ...
Xi-Sheng Dai +3 more
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Event‐triggered load frequency control of smart grids under deception attacks
IET Control Theory & Applications, 2021 This paper shows a result for the load frequency control with event‐triggering mechanism under deception attacks. Specifically, the event‐triggering mechanism and deception attacks are considered in the dynamic model of power systems.
Xinghua Liu +4 more
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Generation and prediction of flight delays in air transport
IET Intelligent Transport Systems, 2021 This paper presents models for flight delay prediction by considering both the local effects and network effects for the individual airport. Following a complex network approach, the authors analyse the local and network effects separately.
Qiang Li, Ranzhe Jing
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Sensitivity analysis and parameter estimation for distributed hydrological modeling: potential of variational methods [PDF]
, 2009 Variational methods are widely used for the analysis and control of computationally intensive spatially distributed systems. In particular, the adjoint state method enables a very efficient calculation of the derivatives of an objective function ...
Dartus, Denis +8 more
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Distributed Stochastic Model Predictive Control for a Microscopic Interactive Traffic Model [PDF]
, 2023 Stochastic Model Predictive Control (SMPC) has attracted increasing attention for autonomous driving in recent years, since it enables collision-free maneuvers and trajectory planning and can deal with uncertainties in a non-conservative way.
Leibold, Marion +12 more
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IEEE Access, 2019 In this paper, the control problem of semi-linear distributed parameter system (DPS) with sensors/actuators is considered using iterative learning control (ILC) method.
Jianxiang Zhang +3 more
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IEEE Access, 2021 In this paper, the iterative learning control (ILC) problem is investigated for a class of time-invariant parabolic singular distributed parameter systems.
Xisheng Dai, Xingyu Zhou
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