A Nonsmooth Nonlinear Programming Based Predictive Control for Mechanical Servo Systems with Backlash-like Hysteresis
Sign Up to like & getrecommendations! Published in 2018 at "Asian Journal of Control"
DOI: 10.1002/asjc.1642
Abstract: In this paper, a multi-step-ahead predictive control approach for dynamic systems with preceded backlash-like hysteresis based on nonsmooth nonlinear programming is proposed. In this approach, a nonsmooth multi-step-ahead predictive model is developed for long-range prediction… read more here.
Keywords: control; backlash like; nonlinear programming; predictive control ... See more keywords
Planar methods and grossone for the Conjugate Gradient breakdown in nonlinear programming
Sign Up to like & getrecommendations! Published in 2018 at "Computational Optimization and Applications"
DOI: 10.1007/s10589-017-9957-y
Abstract: This paper deals with an analysis of the Conjugate Gradient (CG) method (Hestenes and Stiefel in J Res Nat Bur Stand 49:409–436, 1952), in the presence of degenerates on indefinite linear systems. Several approaches have… read more here.
Keywords: grossone; nonlinear programming; planar methods; conjugate gradient ... See more keywords
Non-monotone inexact restoration method for nonlinear programming
Sign Up to like & getrecommendations! Published in 2020 at "Computational Optimization and Applications"
DOI: 10.1007/s10589-019-00129-2
Abstract: This paper deals with a new variant of the inexact restoration method of Fischer and Friedlander (Comput Optim Appl 46:333–346, 2010) for nonlinear programming. We propose an algorithm that replaces the monotone line search performed… read more here.
Keywords: restoration method; inexact restoration; non monotone; nonlinear programming ... See more keywords
Visual analytics for nonlinear programming in robot motion planning
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DOI: 10.1007/s12650-021-00786-8
Abstract: Abstract Nonlinear programming is a complex methodology where a problem is mathematically expressed in terms of optimality while imposing constraints on feasibility. Such problems are formulated by humans and solved by optimization algorithms. We support… read more here.
Keywords: visual analytics; motion planning; nonlinear programming; robot motion ... See more keywords
On the approximate solutions of augmented subproblems within sequential methods for nonlinear programming
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DOI: 10.1007/s40314-018-0702-7
Abstract: Within the context of sequential methods for solving general nonlinear programming problems, and on the grounds of a previous work of the same authors, this study deals with the theoretical reasoning behind handling the original… read more here.
Keywords: augmented subproblems; approximate solutions; subproblems within; solutions augmented ... See more keywords
A Branch and Bound Algorithm for Transmission Network Expansion Planning Using Nonconvex Mixed-Integer Nonlinear Programming Models
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DOI: 10.1109/access.2022.3166153
Abstract: The branch and bound (BB) algorithm is widely used to obtain the global solution of mixed-integer linear programming (MILP) problems. On the other hand, when the traditional BB structure is directly used to solve nonconvex… read more here.
Keywords: nonlinear programming; problem; algorithm; mixed integer ... See more keywords
Mixed-Integer Nonlinear Programming Formulation for Distribution Networks Reliability Optimization
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2017.2773572
Abstract: An optimal placement of protective devices could increase the reliability and quality level of a distribution network. An innovative mixed-integer nonlinear programming model is proposed in this paper to find the type, optimal siting, and… read more here.
Keywords: distribution networks; mixed integer; integer nonlinear; nonlinear programming ... See more keywords
A Comparison of Normal Cone Conditions for Homotopy Methods for Solving Inequality Constrained Nonlinear Programming Problems
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DOI: 10.1155/2020/5483587
Abstract: Homotopy methods are powerful tools for solving nonlinear programming. Their global convergence can be generally established under conditions of the nonemptiness and boundness of the interior of the feasible set, the Positive Linear Independent Constraint… read more here.
Keywords: homotopy methods; normal cone; nonlinear programming; cone conditions ... See more keywords