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检索条件"机构=Center for Control of Dynamical Systems and Computation"
342 条 记 录,以下是301-310 订阅
排序:
On visibility maintenance via controlled invariance for leader-follower Dubins-like vehicles
On visibility maintenance via controlled invariance for lead...
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IEEE Conference on Decision and control
作者: Fabio Morbidi Francesco Bullo Domenico Prattichizzo Dipartimento di Ingegneria dellInformazione Università di Siena Siena Italy Department of Mechanical Engineering and Center for Control Dynamical Systems and Computation University of California Santa Barbara CA USA
The paper studies the visibility maintenance problem (VMP) for a leader-follower pair of robots modelled as first-order dynamic systems and proposes an original solution based on the notion of controlled invariance. T... 详细信息
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Using noise transmission properties to identify stochastic gene regulatory networks
Using noise transmission properties to identify stochastic g...
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IEEE Conference on Decision and control
作者: Brian Munsky Mustafa Khammash Center for Control Dynamical Systems and Computation University of California Santa Barbara CA USA Computational and Statistical Sciences Division at Los Alamos National Laboratory Center for Nonlinear Science and Computer Los Alamos NM USA
Gene regulatory networks often occur at such small scales that their dynamics are controlled by individual molecular events. This discrete behavior causes significant quantities of intrinsic noise. In some cases, mech... 详细信息
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Quantized average consensus via dynamic coding/decoding schemes
Quantized average consensus via dynamic coding/decoding sche...
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IEEE Conference on Decision and control
作者: Ruggero Carli Francesco Bullo Sandro Zampieri Center for Control Dynamical Systems and Computation University of California슠Santa Barbara Santa Barbara CA USA Department of Information Engineering sede di Vicenza Università di Padova Padova Italy
In the average consensus a set of linear systems has to be driven to the same final state which corresponds to the average of their initial states. This contribution presents a consensus strategy in which the systems ... 详细信息
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Increasingly correct message passing averaging algorithms
Increasingly correct message passing averaging algorithms
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IEEE Conference on Decision and control
作者: Kurt Plarre Francesco Bullo Department of Mechanical Engineering and Center for Control Dynamical Systems and Computation University of California슠Santa Barbara Santa Barbara CA USA Department of Mechanical Engineering University of California슠Santa Barbara CA USA
We study averaging algorithms, when implemented in large networks of wirelessly connected elements. We extend the notion of ¿increasing correctness¿ (IC) which was defined for cycle-free graphs, to general g... 详细信息
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Robust limit cycle control in an attitude control system with switching-constrained actuators
Robust limit cycle control in an attitude control system wit...
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IEEE Conference on Decision and control
作者: Alexandre Rodrigues Mesquita Karl Heinz Kienitz Erico Luis Rempel Center for Control Dynamical Systems and Computation University of California Santa Barbara CA USA Departamento de Sistemas e Controle Instituto Tecnológico de Aeronáutica CTA Brazil Departamento de Matemática Instituto Tecnológico de Aeronáutica CTA Brazil
In this paper the robust behavior in some piecewise affine systems with minimally spaced transition times is studied. Such systems are found e.g. in satellites and satellite launchers. On-off thrusters are frequently ... 详细信息
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Supervisory control of nonlinear systems  9
Supervisory control of nonlinear systems
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2007 9th European control Conference, ECC 2007
作者: Hespanha, Joao P. Center for Control Dynamical Systems and Computation University of California Santa Barbara United States
The control of nonlinear systems with large uncertainty is especially challenging. In spite of this, significant progress has been made in the area of multi-model supervisory control. © 2007 EUCA.
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Supervisory control of nonlinear systems
Supervisory control of nonlinear systems
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European control Conference (ECC)
作者: João P. Hespanha Center for Control Dynamical Systems and Computation University of California Santa Barbara
The control of nonlinear systems with large uncertainty is especially challenging. In spite of this, significant progress has been made in the area of multi-model supervisory control.
来源: 评论
Target assignment for robotic networks: Worst-case and stochastic performance in dense environments
Target assignment for robotic networks: Worst-case and stoch...
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Proceedings of the 46th IEEE Conference on Decision and control, Pages 2301-2758
作者: Stephen L. Smith Francesco Bullo Center for Control Dynamical Systems and Computation University of California Santa Barbara CA USA
Consider an equal number of mobile robotic agents and distinct target locations dispersed in an environment. Each agent has a limited communication range and knowledge of every target's position. We study the foll... 详细信息
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Complex hybrid systems: Stability analysis for omega limit sets
Complex hybrid systems: Stability analysis for omega limit s...
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26th Chinese control Conference, CCC 2007
作者: Chaohong, Cai Rafal, Goebel Sanfelice, Ricardo G. Teel, Andrew R. Center for Control Dynamical Systems and Computation Department of Electrical and Computer Engineering University of California Santa Barbara CA 93106-9560 United States 3518 NE 42 St. Seattle WA 98105 United States
This paper focuses on the asymptotic stability properties of omega limit sets for complex hybrid dynamical systems, which are commonly found in systems and engineering. It spells out specific stability results that fo... 详细信息
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Hybrid dynamical systems: Robust stability and control
Hybrid dynamical systems: Robust stability and control
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26th Chinese control Conference, CCC 2007
作者: Cai, Chaohong Rafal, Goebel Sanfelice, Ricardo G. Teel, Andrew R. Center for Control Dynamical Systems and Computation Department of Electrical and Computer Engineering University of California Santa Barbara CA 93106-9560 United States 3518 NE 42 St. Seattle WA 98105 United States
Modeling issues for hybrid dynamical systems are discussed and fundamental stability analysis tools are summarized. These tools are useful for the development of hybrid control algorithms.
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