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2011 IEEE International Symposium on Intelligent Control

28-30 Sept. 2011

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Displaying Results 1 - 25 of 51
  • Welcome

    Publication Year: 2011, Page(s):3 - 8
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  • Technical program overview

    Publication Year: 2011, Page(s):9 - 11
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  • Plenary lectures

    Publication Year: 2011, Page(s):12 - 13
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (267 KB)

    Provides an abstract of the plenary presentations and a brief professional biography of the presenters. The complete presentation was not made available for publication as part of the conference proceedings. View full abstract»

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  • Freeway traffic control

    Publication Year: 2011, Page(s): 14
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  • 2011 IEEE MSC information

    Publication Year: 2011, Page(s):15 - 16
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  • Workshops

    Publication Year: 2011, Page(s):17 - 18
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  • Joint Society Invited Sessions

    Publication Year: 2011, Page(s):19 - 20
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  • 2011 MSC program at a glance

    Publication Year: 2011, Page(s):1 - 3
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  • Content list

    Publication Year: 2011, Page(s):1 - 19
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  • Book of abstracts

    Publication Year: 2011, Page(s):1 - 44
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (510 KB)

    Summary form only given. Provides an abstract for each of the presentations in the conference proceedings. View full abstract»

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  • 2011 MSC author index

    Publication Year: 2011, Page(s):1 - 7
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  • 2011 MSC keyword index

    Publication Year: 2011, Page(s):1 - 4
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  • Performance information in risk-averse control of model-following systems

    Publication Year: 2011, Page(s):593 - 600
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (178 KB) | HTML iconHTML

    The paper presents an extension of the theory of risk-averse control of a linear-quadratic class of model-following control systems with incomplete state feedback. It is shown that performance information can improve control decisions with only available output measurements for system performance reliability but information structures can also be costly. Many of the results entail measures of the ... View full abstract»

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  • Satellite formation flying with input saturation: An LMI approach

    Publication Year: 2011, Page(s):810 - 815
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (396 KB) | HTML iconHTML

    In this paper, we consider a relative position control problem for a satellite formation flying system in a noncoplarnar and elliptical orbit. It is assumed that the angular rate and angular acceleration are not known, but they are bounded. The system dynamics is designed with the bounded uncertain parameters. In the presence of input saturation, we develop a state feedback controller that guarant... View full abstract»

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  • Distance-based control of cycle-free persistent formations

    Publication Year: 2011, Page(s):816 - 821
    Cited by:  Papers (14)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (361 KB) | HTML iconHTML

    In this paper, we study distance-based control of cycle-free persistent formations of single-integrator modeled agents in the plane. First, we propose a sequential control law consisting of algebraic calculations and primitive motions for agent groups having cycle-free persistent formations. Second, we prove the local asymptotic stability of cycle-free persistent formations under the well-known gr... View full abstract»

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  • An interpolation method of multiple terminal iterative learning control

    Publication Year: 2011, Page(s):1528 - 1533
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (251 KB) | HTML iconHTML

    In this paper, we present an iterative learning control (ILC) algorithm to track specified desired multiple terminal points at given time instants. A framework to update the desired trajectories from given points is developed based on the interpolation technique. The approach shows better rate of convergence of the errors. The simulation with a satellite antenna control model is demonstrated to sh... View full abstract»

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  • Optimal network localization by particle swarm optimization

    Publication Year: 2011, Page(s):620 - 625
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (371 KB) | HTML iconHTML

    The practical and theoretical importance of network localization has determined a great focus from the scientific community. In recent years several schemes have been proposed to solve the localization problem under certain constraints. Here, we apply the particle swarm optimization (PSO) paradigm to the problem of constructing optimally localizable networks. Alternative solutions which yield non-... View full abstract»

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  • Probabilistic fault detection and handling algorithm for testing stability control systems with a drive-by-wire vehicle

    Publication Year: 2011, Page(s):601 - 606
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (267 KB) | HTML iconHTML

    This paper presents a probabilistic fault detection and handling algorithm (PFDH) for redundant and deterministic X-by-wire systems. The algorithm is specifically designed to guarantee safe operation of an experimental drive-by-wire vehicle used as test platform and development tool in research projects focusing on vehicle dynamics. The required flexibility of the overall system for use as a test ... View full abstract»

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  • A framework for adaptive tuning of distributed model predictive controllers by Lagrange multipliers

    Publication Year: 2011, Page(s):1516 - 1523
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (433 KB) | HTML iconHTML

    In this work we show that some sort of altruism between controllers is require for a distributed approach to be globally optimal. This paper makes a contribution to the state-of-the-art by defining distributed MPC controllers as altruistic MPC agents and proposing an on-line tuning of the agent altruism (Lagrange multipliers). The tuning process will guarantee a minimal level of what we call satis... View full abstract»

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  • Formation control of mobile agent groups based on localization

    Publication Year: 2011, Page(s):822 - 827
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (596 KB) | HTML iconHTML

    In this paper, we study localization based formation control of mobile agent groups by using relative and partial measurements. Though formation control and localization are linked to each other, they have separately been addressed in the literature. As a novel approach, we propose a formation control strategy based on localization information for single- and double-integrator modeled agent groups... View full abstract»

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  • Real-time PI controller tuning via unfalsified control

    Publication Year: 2011, Page(s):1008 - 1013
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (455 KB) | HTML iconHTML

    In this paper, we present a new unfalsified adaptive control algorithm. This algorithm leads to a real-time controller tuning method. The algorithm consists of two main elements: 1) Switching of controllers in a controller set by the e -hysteresis switching algorithm and 2) Optimization of the controller set via an evolutionary algorithm (EA). The real-time controller tuning is demonstrated for a ... View full abstract»

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  • Norm-optimal control of time-varying discrete repetitive processes

    Publication Year: 2011, Page(s):388 - 393
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (405 KB) | HTML iconHTML

    This paper extends the norm-optimal control design methodology of iterative learning control to the case of time-varying discrete repetitive processes. As a first contribution, starting from a lifting-based formulation, we show a novel iteration-domain state-space description for discrete-repetitive processes. We then pose and solve the norm-optimal control problem for this class of systems. We pr... View full abstract»

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  • Multi-agent coordination by iterative learning control: Centralized and decentralized strategies

    Publication Year: 2011, Page(s):394 - 399
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (485 KB) | HTML iconHTML

    Iterative learning control (ILC), an approach to achieve perfect trajectory tracking for uncertain dynamic systems that are periodic or repetitive, can be viewed as a kind of coordination or planning algorithm. This paper exploits this view to provide two coordination algorithms for distributed multi-agent systems. First we show how to achieve formation control for a class of nonholonomic mobile a... View full abstract»

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  • Non-zero sum games: Online learning solution of coupled Hamilton-Jacobi and coupled Riccati equations

    Publication Year: 2011, Page(s):171 - 178
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (419 KB) | HTML iconHTML

    In this paper we present an online adaptive control algorithm based on policy iteration reinforcement learning techniques to solve the continuous-time (CT) multi player non zero sum (NZS) game with infinite horizon for linear and nonlinear systems. The adaptive algorithm learns online the solution of coupled Riccati equations and coupled Hamilton-Jacobi equations for linear and nonlinear systems r... View full abstract»

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  • Robust adaptive finite-time parameter estimation and control of nonlinear systems

    Publication Year: 2011, Page(s):1014 - 1019
    Cited by:  Papers (22)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (318 KB) | HTML iconHTML

    This paper exploits an alternative adaptive parameter estimation and control approach for nonlinear systems. An auxiliary filter is developed to derive a representation of the parameter estimation error, which is combined with an adaptive law to guarantee the exponential convergence of the control error as well as the estimation error. The proposed method is further improved via a sliding mode tec... View full abstract»

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