• 제목/요약/키워드: Nonlinear constraints

검색결과 421건 처리시간 0.021초

Fuzzy-Enforced Complementarity Constraints in Nonlinear Interior Point Method-Based Optimization

  • Song, Hwachang
    • International Journal of Fuzzy Logic and Intelligent Systems
    • /
    • 제13권3호
    • /
    • pp.171-177
    • /
    • 2013
  • This paper presents a fuzzy set method to enforce complementarity constraints (CCs) in a nonlinear interior point method (NIPM)-based optimization. NIPM is a Newton-type approach to nonlinear programming problems, but it adopts log-barrier functions to deal with the obstacle of managing inequality constraints. The fuzzy-enforcement method has been implemented for CCs, which can be incorporated in optimization problems for real-world applications. In this paper, numerical simulations that apply this method to power system optimal power flow problems are included.

제약을 갖는 최적화문제에 대한 파라메트릭 접근법과 구조문제의 최적화에 대한 응용 (A Method using Parametric Approach for Constrained Optimization and its Application to a System of Structural Optimization Problems)

  • 양용준;김원석
    • 한국경영과학회지
    • /
    • 제15권1호
    • /
    • pp.73-82
    • /
    • 1990
  • This paper describes two algorithms to Nonlinear programming problems with equality constraints and with equality and inequality constraints. The first method treats nonlinear programming problems with equality constraints. Utilizing the nonlinear programming problems with equality constraints. Utilizing the nonlinear parametric programming technique, the method solves the problem by imbedding it into a suitable one-parameter family of problems. The second method is to solve a nonlinear programming problem with equality and inequality constraints, by minimizing a square sum of nonlinear functions which is derived from the Kuhn-Tucker condition.

  • PDF

Trajectory Planning of Satellite Formation Flying using Nonlinear Programming and Collocation

  • Lim, Hyung-Chu;Bang, Hyo-Choong
    • Journal of Astronomy and Space Sciences
    • /
    • 제25권4호
    • /
    • pp.361-374
    • /
    • 2008
  • Recently, satellite formation flying has been a topic of significant research interest in aerospace society because it provides potential benefits compared to a large spacecraft. Some techniques have been proposed to design optimal formation trajectories minimizing fuel consumption in the process of formation configuration or reconfiguration. In this study, a method is introduced to build fuel-optimal trajectories minimizing a cost function that combines the total fuel consumption of all satellites and assignment of fuel consumption rate for each satellite. This approach is based on collocation and nonlinear programming to solve constraints for collision avoidance and the final configuration. New constraints of nonlinear equality or inequality are derived for final configuration, and nonlinear inequality constraints are established for collision avoidance. The final configuration constraints are that three or more satellites should form a projected circular orbit and make an equilateral polygon in the horizontal plane. Example scenarios, including these constraints and the cost function, are simulated by the method to generate optimal trajectories for the formation configuration and reconfiguration of multiple satellites.

A Least Squares Iterative Method For Solving Nonlinear Programming Problems With Equality Constraints

  • Sok Yong U.
    • 한국국방경영분석학회지
    • /
    • 제13권1호
    • /
    • pp.91-100
    • /
    • 1987
  • This paper deals with an algorithm for solving nonlinear programming problems with equality constraints. Nonlinear programming problems are transformed into a square sums of nonlinear functions by the Lagrangian multiplier method. And an iteration method minimizing this square sums is suggested and then an algorithm is proposed. Also theoretical basis of the algorithm is presented.

  • PDF

CONVERGENCE ANALYSIS OF A NONLINEAR LAGRANGIAN ALGORITHM FOR NONLINEAR PROGRAMMING WITH INEQUALITY CONSTRAINTS

  • Zhang, Li-Wei;Liu, Yong-Jin
    • Journal of applied mathematics & informatics
    • /
    • 제13권1_2호
    • /
    • pp.1-10
    • /
    • 2003
  • In this paper, we establish a nonlinear Lagrangian algorithm for nonlinear programming problems with inequality constraints. Under some assumptions, it is proved that the sequence of points, generated by solving an unconstrained programming, convergents locally to a Kuhn-Tucker point of the primal nonlinear programming problem.

신경회로망을 이용한 비선형 프로그래밍회로 (Nonlinear Programming Circuit using Neural Networks)

  • 강민제
    • 융합신호처리학회논문지
    • /
    • 제2권4호
    • /
    • pp.77-84
    • /
    • 2001
  • 신경망을 이용한 선형프로그랭 회로를 홉프필드가 제안한 이후로 이에 관한 많은 논문들이 발표되었으며, 그 중에는 비선형 프로그래밍 문제에 관한 것들도 많다. 그래서 비용함수가 비선형인 경우는 해결이 되었으나 제한조건이 비선형인 경우에는 해결되지 못한 상태이다. 이 논문에서는 제한조건이 비선형인 경우를 포함하는 즉 비용함수와 제한조건 모두 비선형인 경우를 풀 수 있는 일반적인 비선형프로그래밍 신경망을 제안하고자 한다.

  • PDF

입력제약을 고려한 도립진자의 비선형 제어 (Nonlinear Control of an Input-Constrained Inverted Pendulum)

  • 정재훈
    • 대한전기학회:학술대회논문집
    • /
    • 대한전기학회 2003년도 학술회의 논문집 정보 및 제어부문 A
    • /
    • pp.119-122
    • /
    • 2003
  • The aim of this paper is to propose a nonlinear controller for a single cart-type inverted pendulum using energy-based control scheme. Using a nonlinear model relating the angular position and velocity to the control input and a nonlinear controller is designed to regulate the angular position and velocity in the presence of input constraints. It is proved that the angular position and velocity converge to zero.

  • PDF

NUMERICAL METHDS USING TRUST-REGION APPROACH FOR SOLVING NONLINEAR ILL-POSED PROBLEMS

  • Kim, Sun-Young
    • 대한수학회논문집
    • /
    • 제11권4호
    • /
    • pp.1147-1157
    • /
    • 1996
  • Nonlinear ill-posed problems arise in many application including parameter estimation and inverse scattering. We introduce a least squares regularization method to solve nonlinear ill-posed problems with constraints robustly and efficiently. The regularization method uses Trust-Region approach to handle the constraints on variables. The Generalized Cross Validation is used to choose the regularization parameter in computational tests. Numerical results are given to exhibit faster convergence of the method over other methods.

  • PDF

비선형제한조건을 갖는 최적화문제 신경회로망 (Neural Networks for Optimization Problem with Nonlinear Constraints)

  • 강민제
    • 한국지능시스템학회논문지
    • /
    • 제12권1호
    • /
    • pp.1-6
    • /
    • 2002
  • Hopfield는 선형 제한조건을 갖는 선형프로그램밍을 풀 수 있는 신경회로망을 제안하였는 데, 이 논문에서는 제한조건함수가 비선형함수를 포함하는 일반적인 최적화문제를 해결할 수 있는 신경망으로 확장하였다. 또한, 최적화문제를 신경회로망에 매핑시키는 방법, 그리고 회로로 구성하는 방법들이 논의되었다.

Nonlinear Optimal Control of an Input-Constrained and Enclosed Thermal Processing System

  • Gwak, Kwan-Woong;Masada, Glenn Y.
    • International Journal of Control, Automation, and Systems
    • /
    • 제6권2호
    • /
    • pp.160-170
    • /
    • 2008
  • Temperature control of an enclosed thermal system which has many applications including Rapid Thermal Processing (RTP) of semiconductor wafers showed an input-constraint violation for nonlinear controllers due to inherent strong coupling between the elements [1]. In this paper, a constrained nonlinear optimal control design is developed, which accommodates input constraints using the linear algebraic equivalence of the nonlinear controllers, for the temperature control of an enclosed thermal process. First, it will be shown that design of nonlinear controllers is equivalent to solving a set of linear algebraic equations-the linear algebraic equivalence of nonlinear controllers (LAENC). Then an input-constrained nonlinear optimal controller is designed based on that LAENC using the constrained linear least squares method. Through numerical simulations, it is demonstrated that the proposed controller achieves the equivalent performances to the classical nonlinear controllers with less total energy consumption. Moreover, it generates the practical control solution, in other words, control solutions do not violate the input-constraints.