0000000000165779

AUTHOR

Benedetto Piccoli

0000-0002-6000-5394

showing 5 related works from this author

Steering dynamical systems with finite plans and limited path length

2007

Complex dynamical systems can be steered by using symbolic input plans. These plans must have a finite descriptive length, and can be expressed by means of words chosen in an alphabet of symbols. In this way, such plans can be sent through a limited capacity channel to a remote system, where they are decoded in suitable control actions. The choice of this symbols is essential to efficiently encode steering plans. To this aim, in this paper, we state the problem of finding symbols maximizing the interval of points reachable by the system along paths with constrained length. We focus on the problem with two symbols, and compare the results with those produced by plans not accounting for the l…

EngineeringMathematical optimizationDynamical systems theorybusiness.industryfinite communication channelsInterval (mathematics)Constraint (information theory)Settore ING-INF/04 - AutomaticaPath lengthControl theoryControl systemdynamic systemState (computer science)Symbolic controlbusinessFocus (optics)Communication channel
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Symbolic control for underactuated differentially flat systems

2006

In this paper we address the problem of generating input plans to steer complex dynamical systems in an obstacle-free environment. Plans considered admit a finite description length and are constructed by words on an alphabet of input symbols, which could be e.g. transmitted through a limited capacity channel to a remote system, where they can be decoded in suitable control actions. We show that, by suitable choice of the control encoding, finite plans can be efficiently built for a wide class of dynamical systems, computing arbitrarily close approximations of a desired equilibrium in polynomial time. Moreover, we illustrate by simulations the power of the proposed method, solving the steer…

Channel capacityNonlinear systemCapacity planningSettore ING-INF/04 - AutomaticaDynamical systems theoryControl theoryUnderactuationControl systemdynamic systemSymbolic controlMotion controlTime complexityMathematicsProceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006.
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Time optimal control of a satellite with two rotors

2001

International audience; The aim of this work is to investigate the structure of time-optimal trajectories for a control system modelizing a satellite with two rotors attached along its two fixed axes. Our results extend to the general case those obtained by Sussmann and Tang in an unpublished paper where they treat a particular case described below. We end up finding a sufficient family of four parameters trajectory types. The main tools used are the Pontryagin Maximum Principle, switching functions and envelope theory. © 2001 EUCA.

Engineeringbusiness.industry010102 general mathematicsWork (physics)Control (management)Structure (category theory)[MATH] Mathematics [math]Time optimal01 natural sciencesStructural optimizationControl theoryTime optimal trajectoryControl systemEnvelope theoryTrajectorySatelliteTime optimal control0101 mathematics[MATH]Mathematics [math]businessEnvelope (motion)
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On Automaton Recognizability of Abnormal Extremals

2002

For a generic single-input planar control system $\dot x=F(x)+ u G(x),$ $x\in\mathbb{R}^2,$ $u\in [-1,1]$, $F(0)=0$, we analyze the properties of abnormal extremals for the minimum time stabilization to the origin. We prove that abnormal extremals are finite concatenations of bang arcs with switchings occurring on the set in which the vector fields F and G are collinear. Moreover, all the generic singularities of one parametric family of extremal trajectories near to abnormal extremals are studied. In particular, we prove that all possible sequences of these singularities, and hence all generic abnormal extremals, can be classified by a set of words recognizable by an automaton.

Set (abstract data type)Discrete mathematicsControl and OptimizationPlanarApplied MathematicsControl systemVector fieldGravitational singularityParametric familyOptimal controlAutomatonMathematicsSIAM Journal on Control and Optimization
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Regularization of chattering phenomena via bounded variation controls

2018

In control theory, the term chattering is used to refer to strong oscillations of controls, such as an infinite number of switchings over a compact interval of times. In this paper we focus on three typical occurences of chattering: the Fuller phenomenon, referring to situations where an optimal control switches an infinite number of times over a compact set; the Robbins phenomenon, concerning optimal control problems with state constraints, meaning that the optimal trajectory touches the boundary of the constraint set an infinite number of times over a compact time interval; the Zeno phenomenon, referring as well to an infinite number of switchings over a compact set, for hybrid optimal co…

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]0209 industrial biotechnologyState constraintsBoundary (topology)02 engineering and technologyInterval (mathematics)01 natural sciences020901 industrial engineering & automationShooting methodConvergence (routing)FOS: MathematicsApplied mathematicsHybrid problems0101 mathematicsElectrical and Electronic EngineeringMathematics - Optimization and ControlMathematicsTotal variation010102 general mathematics[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]Optimal controlComputer Science ApplicationsControllabilityControl and Systems EngineeringOptimization and Control (math.OC)Chattering controlBounded variationTrajectory[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]Fuller phenomenon
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