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020 _a9783642767555
_9978-3-642-76755-5
024 7 _a10.1007/978-3-642-76755-5
_2doi
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082 0 4 _a330.1
100 1 _aCarlson, Dean A.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aInfinite Horizon Optimal Control
_h[electronic resource] :
_bDeterministic and Stochastic Systems /
_cby Dean A. Carlson, Alain B. Haurie, Arie Leizarowitz.
250 _a2nd ed. 1991.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c1991.
300 _aXVI, 332 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _a1 Dynamical Systems with Unbounded Time Interval in Engineering, Ecology and Economics -- 1.1 Introduction -- 1.2 The regulator problem -- 1.3 The pest control problem and other problems of optimal control of interacting species -- 1.4 The optimal economic growth problem -- 1.5 Definition of optimality on an unbounded time interval -- 1.6 Uniformly optimal solutions are agreeable -- 2 Necessary Conditions and Sufficient Conditions for Optimality -- 2.1 Introduction -- 2.2 The maximum principle with a finite horizon -- 2.3 The optimality principle -- 2.4 A maximum principle for an infinite horizon control problem -- 2.5 Sufficient conditions for overtaking optimality -- 3 Asymptotic Stability and the Turnpike Property in Some Simple Control Problems -- 3.1 Introduction -- 3.2 Saddle point property of the Hamiltonian in a convex problem of Lagrange. Implications on local asymptotic stability of optimally controlled systems -- 3.3 An exact turnpike property: Optimal fish harvest -- 3.4 Use of a phase diagram for a one-state-variable control problem: The simple optimal economic growth model -- 4 Global Asymptotic Stability and Existence of Optimal Trajectories for Infinite Horizon Autonomous Convex Systems -- 4.1 Introduction -- 4.2 The class of systems considered -- 4.3 Convergence toward the Von Neumann Set for weakly overtaking trajectories -- 4.4 The turnpike property -- 4.5 Global asymptotic stability for extremal trajectories -- 4.6 A Lyapunov function approach for GAS of optimal trajectories -- 4.7 Sufficient conditions for overtaking optimality -- 4.8 Existence of optimal trajectories -- 4.9 Overtaking optimality under relaxed assumptions -- 5 The Reduction to Finite Rewards -- 5.1 Introduction -- 5.2 The Property R -- 5.3 The connection between continuous and discrete time control systems -- 5.4 Existence of a reduction to finite rewards -- 5.5 A representation formula and turnpike properties of optimal controls -- 5.6 Systems with unbounded rewards and with discounting factors -- 5.7 Infinite horizon tracking of periodic signals -- 5.8 Optimal trajectories and turnpike properties of infinite horizon autonomous nonconvex systems -- 5.9 Two special cases: Scalar systems, and integrands in a separated form -- 6 Asymptotic Stability with a Discounted Criterion; Global and Local Analysis -- 6.1 Introduction -- 6.2 Modified Hamiltonian systems -- 6.3 Cass-Shell conditions for GAS of modified Hamiltonian systems -- 6.4 Brock-Sheinkman conditions for GAS of modified Hamiltonian systems -- 6.5 Another useful condition for GAS -- 6.6 Neighboring extremals, the second variation and analysis of local asymptotic stability of a stationary point, using the optimal linear quadratic regulator problem -- 6.7 The turnpike property for finite horizon optimal control problems with discounting -- 7 Turnpike Properties and Existence of Overtaking Optimal Solutions for Classes of Nonautonomous Nonconvex Control Problems -- 7.1 Introduction -- 7.2 G-supported trajectories -- 7.3 Carathéodory's method for finite horizon optimal control problems -- 7.4 Carathéodory's method for infinite horizon optimal control problems -- 7.5 The growth condition (?) and the compactness of the set of admissible trajectories -- 7.6 Upper closure and the existence of strongly optimal solutions -- 7.7 The existence of overtaking optimal solutions -- 8 Control of Systems with Integrodifferential Equations -- 8.1 Introduction -- 8.2 The basic model -- 8.3 Linear hereditary operators and an upper closure theorem -- 8.4 Existence of overtaking optimal solutions -- 8.5 Examples -- 9 Extensions to Distributed Parameter Systems -- 9.1 Introduction -- 9.2 Examples -- 9.3 Semigroups of operators and linear control systems -- 9.4 The optimal control problem -- 9.5 The turnpike properties -- 9.6 Existence of overtaking optimal solutions -- 9.7 More on the examples -- 9.8 The extension to systems with distributed parameters and boundary controls -- 10 Stochastic Control with the Overtaking Criterion -- 10.1 Introduction -- 10.2 The reduction to finite costs and the infinite-horizon Bellman equation -- 10.3 Infinite-horizon stochastic tracking -- 10.4 Optimal control of nonlinear diffusions in ?n -- 10.5 On almost-sure overtaking optimality -- 11 Maximum Principle and Turnpike Properties for Systems with Random Modal Jumps -- 11.1 Introduction -- 11.2 Optimal control under random stopping time -- 11.3 Turnpike properties -- 11.4 Piecewise Deterministic Control Systems -- 11.5 Global turnpike property for constant jump rates 3.
520 _aThis monograph deals with various classes of deterministic and stochastic continuous time optimal control problems that are defined over unbounded time intervals. For these problems the performance criterion is described by an improper integral and it is possible that, when evaluated at a given admissible element, this criterion is unbounded. To cope with this divergence new optimality concepts, referred to here as overtaking optimality, weakly overtaking optimality, agreeable plans, etc. , have been proposed. The motivation for studying these problems arises primarily from the economic and biological sciences where models of this type arise naturally. Indeed, any bound placed on the time hori­ zon is artificial when one considers the evolution of the state of an economy or species. The responsibility for the introduction of this interesting class of problems rests with the economists who first studied them in the modeling of capital accumulation processes. Perhaps the earliest of these was F. Ramsey [152] who, in his seminal work on the theory of saving in 1928, considered a dynamic optimization model defined on an infinite time horizon. Briefly, this problem can be described as a Lagrange problem with unbounded time interval. The advent of modern control theory, particularly the formulation of the famous Maximum Principle of Pontryagin, has had a considerable impact on the treat­ ment of these models as well as optimization theory in general.
650 0 _aEconomic theory.
650 0 _aOperations research.
650 0 _aDecision making.
650 0 _aSystem theory.
650 0 _aCalculus of variations.
650 0 _aControl engineering.
650 0 _aRobotics.
650 0 _aMechatronics.
650 1 4 _aEconomic Theory/Quantitative Economics/Mathematical Methods.
_0https://scigraph.springernature.com/ontologies/product-market-codes/W29000
650 2 4 _aOperations Research/Decision Theory.
_0https://scigraph.springernature.com/ontologies/product-market-codes/521000
650 2 4 _aSystems Theory, Control.
_0https://scigraph.springernature.com/ontologies/product-market-codes/M13070
650 2 4 _aCalculus of Variations and Optimal Control; Optimization.
_0https://scigraph.springernature.com/ontologies/product-market-codes/M26016
650 2 4 _aControl, Robotics, Mechatronics.
_0https://scigraph.springernature.com/ontologies/product-market-codes/T19000
700 1 _aHaurie, Alain B.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aLeizarowitz, Arie.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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