“…Differential inclusion (1) can be understood as a special form of the maximal dissipation principle in evolution systems with convex constraints. Models of this type play a central role in modeling nonequilibrium processes with rate-independent memory in mechanics of elastoplastic and thermoelastoplastic materials as well as in ferromagnetism, piezoelectricity or phase transitions, see [1], [6], [20] or [39]. Furthermore, differential inclusion (1) is a special case of a sweeping process which was introduced (in its basic form) in [29] and then gradually generalized in a number of papers, e. g. [15] or [25].…”
Section: Jiří Outratamentioning
confidence: 99%
“…For applications to game theory and Nash equilibria see [7], [26] or [36]. If the aforementioned conditions are not fulfilled, inclusion (1) can be reformulated as a mixture of a differential variational inequality and a differential algebraic equation [3]. For these reformulations see again [31].…”
Section: Jiří Outratamentioning
confidence: 99%
“…The authors considered only a fixed set Z and made use of the rate-independence of the solution map y → z defined by (1). We utilize some of their results and demonstrate the usefulness of this model by means of a simple example from the area of queuing theory.…”
Abstract. We study a special case of an optimal control problem governed by a differential equation and a differential rate-independent variational inequality, both with given initial conditions. Under certain conditions, the variational inequality can be reformulated as a differential inclusion with discontinuous right-hand side. This inclusion is known as sweeping process.We perform a discretization scheme and prove the convergence of optimal solutions of the discretized problems to the optimal solution of the original problem. For the discretized problems we study the properties of the solution map and compute its coderivative. Employing an appropriate chain rule, this enables us to compute the subdifferential of the objective function and to apply a suitable optimization technique to solve the discretized problems. The investigated problem is used to model a situation arising in the area of queuing theory.
“…Differential inclusion (1) can be understood as a special form of the maximal dissipation principle in evolution systems with convex constraints. Models of this type play a central role in modeling nonequilibrium processes with rate-independent memory in mechanics of elastoplastic and thermoelastoplastic materials as well as in ferromagnetism, piezoelectricity or phase transitions, see [1], [6], [20] or [39]. Furthermore, differential inclusion (1) is a special case of a sweeping process which was introduced (in its basic form) in [29] and then gradually generalized in a number of papers, e. g. [15] or [25].…”
Section: Jiří Outratamentioning
confidence: 99%
“…For applications to game theory and Nash equilibria see [7], [26] or [36]. If the aforementioned conditions are not fulfilled, inclusion (1) can be reformulated as a mixture of a differential variational inequality and a differential algebraic equation [3]. For these reformulations see again [31].…”
Section: Jiří Outratamentioning
confidence: 99%
“…The authors considered only a fixed set Z and made use of the rate-independence of the solution map y → z defined by (1). We utilize some of their results and demonstrate the usefulness of this model by means of a simple example from the area of queuing theory.…”
Abstract. We study a special case of an optimal control problem governed by a differential equation and a differential rate-independent variational inequality, both with given initial conditions. Under certain conditions, the variational inequality can be reformulated as a differential inclusion with discontinuous right-hand side. This inclusion is known as sweeping process.We perform a discretization scheme and prove the convergence of optimal solutions of the discretized problems to the optimal solution of the original problem. For the discretized problems we study the properties of the solution map and compute its coderivative. Employing an appropriate chain rule, this enables us to compute the subdifferential of the objective function and to apply a suitable optimization technique to solve the discretized problems. The investigated problem is used to model a situation arising in the area of queuing theory.
Abstract. The paper considers a qualitatively different behaviour of two phenomenological hysteresis models. The first one is the widespread Jiles-Atherton description, which is based on the "effective field" concept. The other model is the proposal by the Brazilian research team GRUCAD. First order reversal curves simulated with the latter formalism do not exhibit negative slopes. This feature is in accordance with the experiment.
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