In this paper, we introduce two iterative schemes by extragradient-like methods for finding a common element of the set of solutions of a generalized equilibrium problem, the set of fixed points of an infinite family ...
详细信息
In this paper, we introduce two iterative schemes by extragradient-like methods for finding a common element of the set of solutions of a generalized equilibrium problem, the set of fixed points of an infinite family of nonexpansive mappings and the set of solutions of the variational inequality for a monotone, Lipschitz-continuous mapping in a Hilbert space. We obtain a strong convergence theorem and a weak convergence theorem for the sequences generated by these processes. Based on these two results, we also get some new and interesting results. The results in this paper generalize and extend some well-known strong convergence theorems and weak convergence theorems in the literature.
This paper deals with multiobjective optimization techniques for a class of hybrid optimal control problems in mechanical systems. We deal with a general nonlinear hybrid control systems described by boundary-value pr...
详细信息
ISBN:
(纸本)9781424456956
This paper deals with multiobjective optimization techniques for a class of hybrid optimal control problems in mechanical systems. We deal with a general nonlinear hybrid control systems described by boundary-value problems associated with hybrid-type Euler-Lagrange or Hamilton equations. The variational structure of the corresponding solutions makes it possible to reduce the original "mechanical" problem to an auxiliary multiobjective programming reformulation. This approach motivates possible applications of theoretical and computational results from multiobjective optimization related to the original dynamical optimization problem. We consider first order optimality conditions for optimal control problems governed by hybrid mechanical systems and also discuss some conceptual algorithms.
In this paper we synthesize the results in [1] - [6] concerning the convergence rate of the one- and two-level methods for some nonlinear problems: nonlinearvariationalinequalities, inequalities with contraction ope...
详细信息
ISBN:
(纸本)9781905088294
In this paper we synthesize the results in [1] - [6] concerning the convergence rate of the one- and two-level methods for some nonlinear problems: nonlinearvariationalinequalities, inequalities with contraction operators, variationalinequalities of the second kind and quasi-variationalinequalities. Also, we verify that the convergence rates obtained by numerical tests are really in concordance with the theoretical ones. We comparatively illustrate the convergence rates of the one- and two-level methods by numerical experiments for the solution of the two-obstacle problem of a nonlinear elastic membrane.
This paper describes modifications of FETI-DP for coercive variationalinequalities as the usage of corner nodes on the contact interface through the additional condition that preserves the nonpenetration in Lagrange ...
详细信息
This paper proposes a two-stage step size rule for monotone nonlinearvariational inequality (VI) problems to further extend the improved prediction-correction (PC) method. The improved PC method is one of the most po...
详细信息
ISBN:
(纸本)9780769536057
This paper proposes a two-stage step size rule for monotone nonlinearvariational inequality (VI) problems to further extend the improved prediction-correction (PC) method. The improved PC method is one of the most popular methods for solving the monotone VI problem due to its simplicity and efficiency. To obtain a more exact and efficient step size in the proved PC method, the step size is calculated by two stages. The first stage is the prediction stage, in which the original step size rule in improved PC method is adopted The second stage is the correction stage, in which the result in the prediction stage is used to achieve a more exact step size. The deduction of the two-stage step size rule is given. Numerical examples indicate that the improved PC method with the two-stage step size rule can save the CPU time compared with that without the two-stage step size rule.
This paper is concerned with stability analysis and H∞ decentralized control of discrete-time nonlinear large-scale systems via fuzzy control approach. Each of them consists J interconnected discrete-time nonlinear s...
详细信息
One important issue in the motion planning of kinematic redundant manipulators is the online obstacle-avoidance. For such purposes, we proposed and unified the scheme formulation based on general quadratic-programs (Q...
详细信息
ISBN:
(纸本)9781424426928
One important issue in the motion planning of kinematic redundant manipulators is the online obstacle-avoidance. For such purposes, we proposed and unified the scheme formulation based on general quadratic-programs (QP), which incorporates physical constraints such as joint physical limits and collision-avoidance inequality. In this paper, a simplified primal-dual neural network based on linear variationalinequalities (LVI) is presented for the real-time solution of such a collision-free inverse-kinematic planning scheme. The neural network solves the strictly-convex QP in an inverse-free manner, in addition to the simple piecewise-linear dynamics and global exponential convergence to optimal solutions. Further computer-simulations based on PA10 redundant robot manipulator substantiate the efficacy of the scheme formulation and its neural-network solver on window-shaped obstacle avoidance.
We obtain a new version of the minimax inequality of Ky Fan. As an application, an existence result for the generalized variational inequality problem with set-valued mappings defined on noncompact sets in Hausdorff t...
详细信息
We obtain a new version of the minimax inequality of Ky Fan. As an application, an existence result for the generalized variational inequality problem with set-valued mappings defined on noncompact sets in Hausdorff topological vector spaces is given. Also, some existence results for the generalized variational inequality problem for quasimonotone and pseudomonotone mappings are obtained.
This paper proposes a two-stage step size rule for monotone nonlinearvariational inequality (VI) problems to further extend the improved prediction-correction (PC) method. The improved PC method is one of the most po...
详细信息
This paper proposes a two-stage step size rule for monotone nonlinearvariational inequality (VI) problems to further extend the improved prediction-correction (PC) method. The improved PC method is one of the most popular methods for solving the monotone VI problem due to its simplicity and efficiency. To obtain a more exact and efficient step size in the proved PC method, the step size is calculated by two stages. The first stage is the prediction stage, in which the original step size rule in improved PC method is adopted. The second stage is the correction stage, in which the result in the prediction stage is used to achieve a more exact step size. The deduction of the two-stage step size rule is given. Numerical examples indicate that the improved PC method with the two-stage step size rule can save the CPU time compared with that without the two-stage step size rule.
In this paper, a robust fuzzy model predictive control (MPC) scheme is presented for a class of discrete-time nonlinear systems which can be described by uncertain T-S fuzzy models subject to actuator saturation. The ...
详细信息
In this paper, a robust fuzzy model predictive control (MPC) scheme is presented for a class of discrete-time nonlinear systems which can be described by uncertain T-S fuzzy models subject to actuator saturation. The system uncertainties under consideration are assumed to be time-varying and norm-bounded. A sufficient condition of minimizing upper bound of the cost function and asymptotical stability of the closed-loop system is established based on Lyapunov function. The proposed controller is obtained by using semi-definite programming (SDP) which can be easily solved by means of linear matrix inequalities (LMIs). Finally, a numerical example is given to verify the feasibility and efficiency of the proposed method.
暂无评论