SINGULAR BOUNDARY PROPERTIES OF HARMONIC FUNCTIONS AND FRACTAL ANALYSIS

ＳＩＮＧＵＬＡＲＢＯＵＮＤＡＲＹＰＲＯＰＥＲＴＩＥＳＯＦＨＡＲＭＯＮＩＣＦＵＮＣＴＩＯＮＳＡＮＤＦＲＡＣＴＡＬＡＮＡＬＹＳＩＳＷＥＮＺＨＩＹＩＮＧＺＨＡＮＧＹＩＰＩＮＧＭａｎｕｓｃｒｉｐｔｒｅｃｅｉｖｅｄＪａｎｕａｒｙ１１，１９９５．Ｒｅｖｉ...     

HOMOMORPHISMS BETWEEN CHEVALLEY GROUPS OF TYPES C_nAND G_2 OVER FINITE FIELDS

ＨＯＭＯＭＯＲＰＨＩＳＭＳＢＥＴＷＥＥＮＣＨＥＶＡＬＬＥＹＧＲＯＵＰＳＯＦＴＹＰＥＳＣｎＡＮＤＧ２ＯＶＥＲＦＩＮＩＴＥＦＩＥＬＤＳＺＨＡＪＩＡＮＧＵＯＭａｎｕｓｃｒｉｐｔｒｅｃｅｉｖｅｄＮｏｖｅｍｂｅｒ２，１９９４．ＤｅｐａｒｔｍｅｎｔｏｆＡｐｐ...     

ON A PROBLEM OF SUMS OF MIXED POWERS （II）

ＯＮＡＰＲＯＢＬＥＭＯＦＳＵＭＳＯＦＭＩＸＥＤＰＯＷＥＲＳ（Ｉ）ＬＵＭＩＮＧＧＡＯＹＵＧＡＮＧＡｂｓｔｒａｃｔＬｅｔＲｂ，ｃ（ｎ）ｄｅｎｏｔｅｔｈｅｎｕｍｂｅｒｏｆｒｅｐｒｅｓｅｎｔａｔｉｏｎｓｏｆｎａｓｔｈｅｓｕｍｏｆｏｎｅｓｑｕａｒｅ，ｆｏ...     

SPECTRAL SEQUENCES OF COHOMOLOGIES OF SINGULARITIES OF C∞ MAPPINGS

ＳＰＥＣＴＲＡＬＳＥＱＵＥＮＣＥＳＯＦＣＯＨＯＭＯＬＯＧＩＥＳＯＦＳＩＮＧＵＬＡＲＩＴＩＥＳＯＦＣ∞ＭＡＰＰＩＮＧＳＸＩＡＯＥＲＪＩＡＮＡｂｓｔｒａｃｔＴｗｏｓｐｅｃｔｒａｌｓｅｑｕｅｎｃｅｓａｒｅｄｅｆｉｎｅｄｒｅｓｐｅｃｔｉｖｅｌｙｆｏｒｃｏｈ...     

DUAL ASPECTS OF THE QUASITRIANGULAR BIALGEBRAS AND THE BRAIDED BIALGEBRAS

ＤＵＡＬＡＳＰＥＣＴＳＯＦＴＨＥＱＵＡＳＩＴＲＩＡＮＧＵＬＡＲＢＩＡＬＧＥＢＲＡＳＡＮＤＴＨＥＢＲＡＩＤＥＤＢＩＡＬＧＥＢＲＡＳＬＵＤＩＭＩＮＧＡｂｓｔｒａｃｔＩｔｉｓｓｈｏｗｎｔｈａｔｔｈｅｄｕａｌｂｉａｌｇｅｂｒａｏｆａｎｙｑｕａｓｉｔｒｉ...     

A GLOBAL ALGORITHM IN THE NUMERICAL RESOLUTION OF THEVISCOUS／INVISCID COUPLED PROBLEM

ＡＧＬＯＢＡＬＡＬＧＯＲＩＴＨＭＩＮＴＨＥＮＵＭＥＲＩＣＡＬＲＥＳＯＬＵＴＩＯＮＯＦＴＨＥＶＩＳＣＯＵＳ／ＩＮＶＩＳＣＩＤＣＯＵＰＬＥＤＰＲＯＢＬＥＭＸＵＣＨＵＡＮＪＵＭＡＤＡＹ，Ｙ．ＭａｎｕｓｃｒｉｐｔｒｅｃｅｉｖｅｄＯｃｔｏｂｅｒ１７，１９...     

INITIAL VALUE PROBLEMS FOR SECOND ORDER IMPULSIVE INTEGRO-DIFFERENTIAL EQUATIONS IN BANACH SPACES

ＩＮＩＴＩＡＬＶＡＬＵＥＰＲＯＢＬＥＭＳＦＯＲＳＥＣＯＮＤＯＲＤＥＲＩＭＰＵＬＳＩＶＥＩＮＴＥＧＲＯ┐ＤＩＦＦＥＲＥＮＴＩＡＬＥＱＵＡＴＩＯＮＳＩＮＢＡＮＡＣＨＳＰＡＣＥＳ＊＊ＧＵＯＤＡＪＵＮ＊ＡｂｓｔｒａｃｔＭａｎｕｓｃｒｉｐｔｒｅｃｅｉｖｅｄＪｕ...     

EMBEDDING FLOWS AND SMOOTH CONJUGACY

ＥＭＢＥＤＤＩＮＧＦＬＯＷＳＡＮＤＳＭＯＯＴＨＣＯＮＪＵＧＡＣＹＺＨＡＮＧＭＥＩＲＯＮＧＬＩＷＥＩＧＵＭａｎｕｓｃｒｉｐｔｒｅｃｅｉｖｅｄＭａｒｃｈ２３，１９９４．ＲｅｖｉｓｅｄＮｏｖｅｍｂｅｒ１，１９９５．ＤｅｐａｒｔｍｅｎｔｏｆＡｐ...     

ON A MULTILINEAR OSCILLATORY SINGULAR INTEGRAL OPERATOR （I）

ＯＮＡＭＵＬＴＩＬＩＮＥＡＲＯＳＣＩＬＬＡＴＯＲＹＳＩＮＧＵＬＡＲＩＮＴＥＧＲＡＬＯＰＥＲＡＴＯＲ（Ｉ）ＣＨＥＮＷＥＮＧＵＨＵＧＵＯＥＮＬＵＳＨＡＮＺＨＥＮＭａｎｕｓｃｒｉｐｔｒｅｃｅｉｖｅｄＯｃｔｏｂｅｒ１８，１９９４．ＲｅｖｉｓｅｄＤｅｃｅ...     

THE FOURIER SERIES EXPANSIONS OF FUNCTIONS DEFINED ON S-SETS

ＴＨＥＦＯＵＲＩＥＲＳＥＲＩＥＳＥＸＰＡＮＳＩＯＮＳＯＦＦＵＮＣＴＩＯＮＳＤＥＦＩＮＥＤＯＮＳＳＥＴＳＬＩＡＮＧＪＩＮＲＯＮＧＬＩＷＡＮＳＨＥＳＵＦＥＮＧＲＥＮＦＵＹＡＯＡｂｓｔｒａｃｔＬｅｔＥｂｅａｃｏｍｐａｃｔｓｓｅｔｓｏｆＲｎ．Ｔｈ...     

A numerical method for an optimal control problem with minimum sensitivity on coefficient variation

In this paper, we consider a class of optimal control problem involving an impulsive systems in which some of its coefficients are subject to variation. We formulate this optimal control problem as a two-stage optimal control problem. We first formulate the optimal impulsive control problem with all its coefficients assigned to their nominal values. This becomes a standard optimal impulsive control problem and it can be solved by many existing optimal control computational techniques, such as the control parameterizations technique used in conjunction with the time scaling transform. The optimal control software package, MISER 3.3, is applicable. Then, we formulate the second optimal impulsive control problem, where the sensitivity of the variation of coefficients is minimized subject to an additional constraint indicating the allowable reduction in the optimal cost. The gradient formulae of the cost functional for the second optimal control problem are obtained. On this basis, a gradient-based computational method is established, and the optimal control software, MISER 3.3, can be applied. For illustration, two numerical examples are solved by using the proposed method.     

Solving the optimal control problem of the parabolic PDEs in exploitation of oil

In this paper, the optimal control problem is governed by weak coupled parabolic PDEs and involves pointwise state and control constraints. We use measure theory method for solving this problem. In order to use the weak solution of problem, first problem has been transformed into measure form. This problem is reduced to a linear programming problem. Then we obtain an optimal measure which is approximated by a finite combination of atomic measures. We find piecewise-constant optimal control functions which are an approximate control for the original optimal control problem.     

Method for Constructing Piecewise Quadratic Value Functions in a Control Problem for a Switched System

The problem of constructing internal approximations to solvability sets and the control synthesis problem for a piecewise linear system with control parameters and disturbances (uncertainties) are solved. The solution is based on the comparison principle and piecewise quadratic value functions of a special form. Relations defining such functions and, in particular, “continuous binding conditions” for the functions and their first derivatives are obtained. The results are used to construct numerical methods for solving the control synthesis problem for the class of switched systems under study. An example of approximate solution of the control synthesis problem in a target control problem for a nonlinear mathematical model of a pendulum with a flywheel is considered.     

A semidefinite programming approach for solving fractional optimal control problems

This paper presents a numerical scheme for solving fractional optimal control. The fractional derivative in this problem is in the Riemann–Liouville sense. The proposed method, based upon the method of moments, converts the fractional optimal control problem to a semidefinite optimization problem; namely, the nonlinear optimal control problem is converted to a convex optimization problem. The Grunwald–Letnikov formula is also used as an approximation for fractional derivative. The solution of fractional optimal control problem is found by solving the semidefinite optimization problem. Finally, numerical examples are presented to show the performance of the method.     

On Identification of Memory Kernels in Linear Viscoelasticity

The inverse problem of identification of the memory kernel in the linear constitutive stress-strain-relation of Boltzmann type is reduced to an optimal control problem for an initial-boundary-value problem of the related wave equation for the displacement. For the control problem the existence of an optimal control is proved, where both classical and generalized solutions of the equation are dealt with. Further the existence and an expression for the gradient of the cost functional are derived.     

单输入多时滞离散系统的线性二次调节问题

研究了单输入多时滞的离散时间系统的线性二次调节问题(LQR问题),给出了求解最优控制输入序列的一种简单有效而又新颖的方法.将该动态的离散时滞系统的LQR最优控制问题最终转化成了一个静态的、不带时滞的数学规划模型——带等式线性约束的严格凸二次规划问题,并利用两种方法解这个二次规划问题,均成功地导出了系统的最优控制输入序列.仿真结果验证了我们的方法的正确有效性.     

Time optimal sampled-data controls for the heat equation

In this paper, we first design a time optimal control problem for the heat equation with sampled-data controls, and then use it to approximate a time optimal control problem for the heat equation with distributed controls.The study of such a time optimal sampled-data control problem is not easy, because it may have infinitely many optimal controls. We find connections among this problem, a minimal norm sampled-data control problem and a minimization problem, and obtain some properties on these problems. Based on these, we not only build up error estimates for optimal time and optimal controls between the time optimal sampled-data control problem and the time optimal distributed control problem, in terms of the sampling period, but we also prove that such estimates are optimal in some sense.     

Wavelet-based limiting performance analysis of mechanical systems subject to transient disturbances

Wavelets are used as the basis functions for control forces in the limiting performance analysis of a mechanical system subject to transient loading. The limiting performance problem, an open-loop control problem, can then be treated as a mathematical programming problem. A numerical example is presented to illustrate the effectiveness of using wavelets. Conventional approximate representations of the control function are interpreted in terms of the scaling function and multiresolution.     

Lagrangian methods for optimal control problems governed by a mixed quasi-variational inequality

This paper studies an optimal control problem where the state of the system is defined by a mixed quasi-variational inequality. Several sufficient conditions for the zero duality gap property between the optimal control problem and its nonlinear dual problem are obtained by using nonlinear Lagrangian methods. Our results are applied to an example where the mixed quasi-variational inequality leads to a bilateral obstacle problem.