1,814 research outputs found

    Optimization and Control Techniques and Applications

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    This book presents advances in state-of-the-art solution methods and their applications to real life practical problems in optimization, control and operations research. Contributions from world-class experts in the field are collated here in two parts, dealing first with optimization and control theory and then with techniques and applications. Topics covered in the first part include control theory on infinite dimensional Banach spaces, history-dependent inclusion and linear programming complexity theory. Chapters also explore the use of approximations of Hamilton-Jacobi-Bellman inequality for solving periodic optimization problems and look at multi-objective semi-infinite optimization problems and production planning problems. In the second part, the authors address techniques and applications of optimization and control in a variety of disciplines, such as chaos synchronization, facial expression recognition and dynamic input-output economic models. Other applications considered here include image retrieval, natural earth satellites orbital transfers, snap-back repellers and modern logistic systems. Readers will learn of advances in optimization, control and operations research, as well as potential new avenues of research and development. The book will appeal to scientific researchers, mathematicians and all specialists interested in the latest advances in optimization and control

    A special issue Dedicated to Kok Lay Teo and Jie Sun

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    Discrete and Continuous Dynamical Systems Series B: Special IssueThis special issue of Discrete and Continuous Dynamical Systems Series B is dedicated to Professor Kok Lay Teo and Professor Jie Sun for their fundamental contributions to optimization and optimal control and their computational methods and applications. The 2010 International Conference on Optimization and Control (ICOCO2010) was held at Guizhou Park Hotel in Guiyang, China on July 18-23, 2010, in honour of Professors Teo and Sun on their 65th birthdays.Honglei Xu, Cheng-Chew Lim, Wei We

    Smooth convex approximation to the maximum eigenvalue function

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    In this paper, we consider smooth convex approximations to the maximum eigenvalue function. To make it applicable to a wide class of applications, the study is conducted on the composite function of the maximum eigenvalue function and a linear operator mapping Rm to Sn, the space of n-by-n symmetric matrices. The composite function in turn is the natural objective function of minimizing the maximum eigenvalue function over an affine space in Sn. This leads to a sequence of smooth convex minimization problems governed by a smoothing parameter. As the parameter goes to zero, the original problem is recovered. We then develop a computable Hessian formula of the smooth convex functions, matrix representation of the Hessian, and study the regularity conditions which guarantee the nonsingularity of the Hessian matrices. The study on the well-posedness of the smooth convex function leads to a regularization method which is globally convergent

    A bilateral based electricity market design for Malaysia electricity supply industry Kok Ping Teo

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    The purpose of this project is to study and design a bilateral market model for Malaysia Electricity Supply Industry (MESI). Current MESI is adopting Single Buyer Model, which produces no competition either on generation and demand side. Tenaga Nasional Berhad (TNB) is the only one company that buying and selling energy to all relevant parties. On the other hand, the tariff is determined by the government, in other words, customer cannot do anything to the energy tariff. A bilateral market model bring the energy trading to more open and competitive environment, TNB will no longer monopolising the market, where as the parties involving selling and buying energy freely negotiate among themselves based on their demand and needed. It will be forming an electricity wholesale market. Due to the market forces, expected resulting in reduction of cost of wholesale electricity, further to reduce retail energy prices, and benefit to the end user of the reduction of the tariff. A few assumption cases study will be made to simulate the bilateral trading process. The case study for Single Buyer Model (SBM) to be included capacity payment, and assumed that there is no competition among generators. The generators will be only involving Independent Power Producers (IPPs) in Malaysia. On the other hand, a few cases will be studied under bilateral model, stimulate competition among generators will be the essential, and how to make a fair competition environment will also be taken into account. Both results of SBM and bilateral model were compared and discussed. This project has demonstrated the potential of replacing Malaysia’s Single Buyer Model to bilateral market model, towards an open and competitive electricity trading market

    An optimal PID controller design for nonlinear constrained optimal control problems

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    In this paper, we consider a class of optimal PID control problems subject to continuous inequality constraints and terminal equality constraint. By applying the constraint transcription method and a local smoothing technique to these continuous inequality constraint functions, we construct the corresponding smooth approximate functions. We use the concept of the penalty function to append these smooth approximate functions to the cost function, forming a new cost function. Then, the constrained optimal PID control problem is approximated by a sequence of optimal parameter selection problems subject to only terminal equality constraint. Each of these optimal parameter selection problems can be viewed and hence solved as a nonlinear optimization problem. The gradient formulas of the new appended cost function and the terminal equality constraint function are derived, and a reliable computation algorithm is given. The method proposed is used to solve a ship steering control problem.Bin Li, Kok Lay Teo, Cheng-Chew Lim and Guang Ren Dua

    On necessary and sufficient conditions for finite-time control of positive stochastic Poisson jump systems

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    In this paper, we consider the stochastically finite-time L_2 control problem for a class of positive stochastic Poisson jump systems (PSPJSs). By introducing a novel mode decoupling technique, some necessary and sufficient conditions are given to guarantee the stochastic finite-time boundedness of the input-free PSPJSs. Then, a proper mode-dependent finite-time state feedback controller is designed such that the positiveness, stochastic finite-time boundedness and the specified L_2 disturbance attenuation performance are attained simultaneously for the closed-loop SPJSs. Finally, two examples are given to show the feasibility and validity of the proposed methods.In this paper, we consider the stochastically finite-time L2 control problem for a class of positive stochastic Poisson jump systems (PSPJSs). By introducing a novel mode decoupling technique, some necessary and sufficient conditions are given to guarantee the stochastic finite-time boundedness of the input-free PSPJSs. Then, a proper mode-dependent finite-time state feedback controller is designed such that the positiveness, stochastic finite-time boundedness and the specified L2 disturbance attenuation performance are attained simultaneously for the closed-loop SPJSs. Finally, two examples are given to show the feasibility and validity of the proposed methods

    Observer-based H infinity control on nonhomogeneous Markov jump systems with nonlinear input

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    Link to a related website: https://digital.library.adelaide.edu.au/dspace/bitstream/2440/85489/2/hdl_85489.pdf, Open Access via UnpaywallAbstract not availableYanyan Yin, Peng Shi, Fei Liu, and Kok Lay Te

    Spirobranchus bakau Shantti & Kupriyanova & Quek & Yap & Teo 2021, sp. nov.

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    Spirobranchus bakau sp. nov. Figs 2–5; Table 2Published as part of Shantti, Pavarne, Kupriyanova, Elena K., Quek, Zheng Bin Randolph, Yap, Nicholas Wei Liang & Teo, Serena Lay Ming, 2021, Spirobranchus bakau sp. nov. from Singapore: yet another species of S. kraussii-complex (Polychaeta: Serpulidae), pp. 33-65 in Zootaxa 5040 (1) on page 39, DOI: 10.11646/zootaxa.5040.1.2, http://zenodo.org/record/553093

    Robust filtering for nonlinear nonhomogeneous markov jump systems by fuzzy approximation approach

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    This paper addresses the problem of robust fuzzy L₂ - L∞ filtering for a class of uncertain nonlinear discrete-time Markov jump systems (MJSs) with nonhomogeneous jump processes. The Takagi-Sugeno fuzzy model is employed to represent such nonlinear nonhomogeneous MJS with norm-bounded parameter uncertainties. In order to decrease conservation, a polytope Lyapunov function which evolves as a convex function is employed, and then, under the designed mode-dependent and variation-dependent fuzzy filter which includes the membership functions, a sufficient condition is presented to ensure that the filtering error dynamic system is stochastically stable and that it has a prescribed L₂ - L∞ performance index. Two simulated examples are given to demonstrate the effectiveness and advantages of the proposed techniques.Yanyan Yin, Peng Shi, Fei Liu, Kok Lay Teo and Cheng-Chew Li
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