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A solution to stochastic unit commitment problem for a wind-thermal system coordination

B. SARAVANAN,Shreya MISHRA,Debrupa NAG

Frontiers in Energy 2014, Volume 8, Issue 2,   Pages 192-200 doi: 10.1007/s11708-014-0306-x

Abstract: unit commitment problem considering the volatile nature of wind and formulating the UC problem as a chanceconstrained problem in which the load is met with high probability over the entire time period.

Keywords： unit commitment (UC)     randomness     wind generation     univariate     chance constrained    

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Fuzzy force control of constrained robot manipulators based on impedance model in an unknown environment

LIU Hongyi, WANG Fei, WANG Lei

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 2,   Pages 168-174 doi: 10.1007/s11465-007-0028-4

Abstract: To precisely implement the force control of robot manipulators in an unknown environment, a control strategy based on fuzzy prediction of the reference trajectory in the impedance model is developed. The force tracking experiments are executed in an open-architecture control system with different tracking velocities, different desired forces, different contact stiffnesses and different surface figurations. The corresponding force control results are compared and analyzed. The influences of unknown parameters of the environment on the contact force are analyzed based on experimental data, and the tunings of predictive scale factors are illustrated. The experimental results show that the desired trajectory in the impedance model is predicted exactly and rapidly in the cases that the contact surface is unknown, the contact stiffness changes, and the fuzzy force control algorithm has high adaptability to the unknown environment.

Keywords： predictive     tracking     corresponding     stiffness     algorithm    

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Robust train speed trajectory optimization: A stochastic constrained shortest path approach

Li WANG, Lixing YANG, Ziyou GAO, Yeran HUANG

Frontiers of Engineering Management 2017, Volume 4, Issue 4,   Pages 408-417 doi: 10.15302/J-FEM-2017042

Abstract: The problem of interest is formulated as a stochastic constrained shortest path problem with travel time

Keywords： train speed trajectory optimization     railway operation     stochastic programming    

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A constrained neural network model for soil liquefaction assessment with global applicability

Yifan ZHANG, Rui WANG, Jian-Min ZHANG, Jianhong ZHANG

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 5,   Pages 1066-1082 doi: 10.1007/s11709-020-0651-2

Abstract: A constrained back propagation neural network (C-BPNN) model for standard penetration test based soil

Keywords： soil liquefaction assessment     case history dataset     constrained neural network model     existing knowledge    

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Dynamic characteristics analysis of active constrained layer damping plate with various boundary conditions

Jing LU, Yu XIANG, Qiao NI

Frontiers of Mechanical Engineering 2011, Volume 6, Issue 4,   Pages 449-455 doi: 10.1007/s11465-011-0240-0

Abstract: converse piezoelectric effect, expressions of piezoelectric membrane internal forces in the piezoelectric constrainedThe control equations of the piezoelectric constrained layer and host plate were obtained in accordingBased on the layer wised principle, the integrated first order differential equation of an active constrained

Keywords： active constrained layer damping (ACLD) plate     dynamic characteristics     semi-analytical method     extended    

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New approaches to water purification for resource-constrained settings: Production of activated biochar

Mohit Nahata, Chang Y. Seo, Pradeep Krishnakumar, Johannes Schwank

Frontiers of Chemical Science and Engineering 2018, Volume 12, Issue 1,   Pages 194-208 doi: 10.1007/s11705-017-1647-x

Abstract: This problem is most acute in remote, resource-constrained rural settings in developing countries., leading to the possibility of an activated biochar production scheme on a small scale in resource-constrained

Keywords： cellulose     DAP     activation     heteroatom     microporous    

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Pulse Transiently Chaotic Neural Network for Nonlinear Constrained Optimization

Li Ying,Cao Hongzhao,Hu Yunchang,Shang Xiuming

Strategic Study of CAE 2004, Volume 6, Issue 5,   Pages 45-48

Abstract: part optima and the global with its abundance dynamical characteristic, when is used in nonlinear non-constrained

Keywords： PTCNN     penalty function     nonlinear constrained optimization    

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Hybrid genetic algorithm for bi-objective resource-constrained project scheduling

Fikri KUCUKSAYACIGIL, Gündüz ULUSOY

Frontiers of Engineering Management 2020, Volume 7, Issue 3,   Pages 426-446 doi: 10.1007/s42524-020-0100-x

Abstract: In this study, we considered a bi-objective, multi-project, multi-mode resource-constrained project scheduling

Keywords： algorithm     injection procedure     maximum cash balance     multi-objective multi-project multi-mode resource-constrained    

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Eversible duoprism mechanism

Ruiming LI,Yan-An YAO

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 2,   Pages 159-169 doi: 10.1007/s11465-016-0398-6

Abstract:

In this study, a novel duoprism mechanism that demonstrates a fascinating eversion motion is developed. The mechanism comprises three scalable platforms and nine retractable limbs and is constructed by inserting prismatic and revolute joints into the edges and vertices of the duoprism, respectively. According to mobility and kinematic analyses, the mechanism has five degrees of freedom. Six inputs, including a redundant one, are required to overcome singularity and achieve an eversion motion. In the eversion motion, three platforms expand/contract synchronously, and the mechanism continuously turns inside out. The detailed gaits of eversion motion along an ellipse and a circle after a cycle are illustrated with two examples. A kinematic simulation is conducted, and a manual prototype is fabricated to verify the feasibility of the eversible duoprism mechanism.

Keywords： duoprism     eversion motion     singularity     over-constrained    

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Manufacturing cost constrained topology optimization for additive manufacturing

Jikai LIU, Qian CHEN, Xuan LIANG, Albert C. TO

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 2,   Pages 213-221 doi: 10.1007/s11465-019-0536-z

Abstract: This paper presents a manufacturing cost constrained topology optimization algorithm considering thedeveloping the sensitivity result, the metallic additive manufacturing part can be optimized with strictly constrained

Keywords： topology optimization     manufacturing cost     additive manufacturing     powder bed    

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Geometrically constrained isogeometric parameterized level-set based topology optimization via trimmed

Yingjun WANG,David J. BENSON

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 4,   Pages 328-343 doi: 10.1007/s11465-016-0403-0

Abstract:

In this paper, an approach based on the fast point-in-polygon (PIP) algorithm and trimmed elements is proposed for isogeometric topology optimization (TO) with arbitrary geometric constraints. The isogeometric parameterized level-set-based TO method, which directly uses the non-uniform rational basis splines (NURBS) for both level set function (LSF) parameterization and objective function calculation, provides higher accuracy and efficiency than previous methods. The integration of trimmed elements is completed by the efficient quadrature rule that can design the quadrature points and weights for arbitrary geometric shape. Numerical examples demonstrate the efficiency and flexibility of the method.

Keywords： isogeometric analysis     topology optimization     level set method     arbitrary geometric constraint     trimmed element    

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Hohmann transfer via constrained optimization None

Li XIE, Yi-qun ZHANG, Jun-yan XU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 11,   Pages 1444-1458 doi: 10.1631/FITEE.1800295

Abstract: Via static and dynamic constrained optimizations, the solution to the Hohmann transfer problem is re-discovered

Keywords： Hohmann transfer     Nonlinear programming     Constrained optimization     Calculus of variations    

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A robust optimization model considering probability distribution

Ding Ran,Li Qiqiang,Zhang Yuanpeng

Strategic Study of CAE 2008, Volume 10, Issue 9,   Pages 70-73

Abstract: Based on the chance constraints programming, two kinds of robust constraints according to two different

Keywords： uncertainty     robust optimization     stochastic programming     chance constraints    

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Synthesis of Bi-planar Vertical Guidance and Control for Cruise Missile

Sun Mingwei,Liu Li,Yang Ming

Strategic Study of CAE 2007, Volume 9, Issue 9,   Pages 52-57

Abstract:

]To meet the cruise missile's air-to-surface attack requirement,  specified impact angle guidance law is presented based on line of sight (LOS) information framework.  Theoretical analysis proves its property.  Considering the missile autopilot's dynamics,  a simple engineering version of integrated guidance and control synthesis is deduced to improve performance.  Mid-course trajectory characteristic is utilized to obtain smooth and low-delay vertical velocity to calculate trajectory angle.  Finally mathematical simulation demonstrates their effectiveness.

Keywords： cruise missile     line of sight (LOS)     constrained guidance     integrated guidance and control    

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Developing a new model for simultaneous scheduling of two grand projects based on game theory and solving the model with Benders decomposition

Loghman PIRI, Vahidreza GHEZAVATI, Ashkan HAFEZALKOTOB

Frontiers of Engineering Management 2022, Volume 9, Issue 1,   Pages 117-134 doi: 10.1007/s42524-020-0115-3

Abstract: Grand infrastructure projects, such as dam, power plant, petroleum, and gas industry projects, have several contractors working on them in several independent sub-projects. The concern of reducing the duration of these projects is one of the important issues among various aspects; thus, our aim is to fulfill the requirements by using the game theory approach. In this study, a mixed-integer programming model consisting of game theory and project scheduling is developed to reduce the duration of projects with a minimum increase in costs. In this model, two contractors in successive periods are entered into a step-by-step competition by the employer during dynamic games, considering an exchange in their limited resources. The optimum solution of the game in each stage are selected as the strategy, and the resources during the game are considered to be renewable and limited. The strategy of each contractor can be described as follows: 1) share their resources with the other contractor and 2) not share the resources with the other contractor. This model can act dynamically in all circumstances during project implementation. If a player chooses a non-optimum strategy, then this strategy can immediately update itself at the succeeding time period. The proposed model is solved using the exact Benders decomposition method, which is coded in GAMS software. The results suggest the implementation of four step-by-step games between the contractors. Then, the results of our model are compared with those of the conventional models. The projects’ duration in our model is reduced by 22.2%. The nominal revenue of both contractors has also reached a significant value of 46078 units compared with the relative value of zero units in the original model. Moreover, we observed in both projects the decreases of 19.5%, 20.9%, and 19.7% in the total stagnation of resources of types 1, 2, and 3, respectively.

Keywords： project scheduling     resource leveling between projects     constrained resources     game theory     Benders decomposition    

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Title Author Date Type Operation

A solution to stochastic unit commitment problem for a wind-thermal system coordination

B. SARAVANAN,Shreya MISHRA,Debrupa NAG

Journal Article

Fuzzy force control of constrained robot manipulators based on impedance model in an unknown environment

LIU Hongyi, WANG Fei, WANG Lei

Journal Article

Robust train speed trajectory optimization: A stochastic constrained shortest path approach

Li WANG, Lixing YANG, Ziyou GAO, Yeran HUANG

Journal Article

A constrained neural network model for soil liquefaction assessment with global applicability

Yifan ZHANG, Rui WANG, Jian-Min ZHANG, Jianhong ZHANG

Journal Article

Dynamic characteristics analysis of active constrained layer damping plate with various boundary conditions

Jing LU, Yu XIANG, Qiao NI

Journal Article

New approaches to water purification for resource-constrained settings: Production of activated biochar

Mohit Nahata, Chang Y. Seo, Pradeep Krishnakumar, Johannes Schwank

Journal Article

Pulse Transiently Chaotic Neural Network for Nonlinear Constrained Optimization

Li Ying,Cao Hongzhao,Hu Yunchang,Shang Xiuming

Journal Article

Hybrid genetic algorithm for bi-objective resource-constrained project scheduling

Fikri KUCUKSAYACIGIL, Gündüz ULUSOY

Journal Article

Eversible duoprism mechanism

Ruiming LI,Yan-An YAO

Journal Article

Manufacturing cost constrained topology optimization for additive manufacturing

Jikai LIU, Qian CHEN, Xuan LIANG, Albert C. TO

Journal Article

Geometrically constrained isogeometric parameterized level-set based topology optimization via trimmed

Yingjun WANG,David J. BENSON

Journal Article

Hohmann transfer via constrained optimization

Li XIE, Yi-qun ZHANG, Jun-yan XU

Journal Article

A robust optimization model considering probability distribution

Ding Ran,Li Qiqiang,Zhang Yuanpeng

Journal Article

Synthesis of Bi-planar Vertical Guidance and Control for Cruise Missile

Sun Mingwei,Liu Li,Yang Ming

Journal Article

Developing a new model for simultaneous scheduling of two grand projects based on game theory and solving the model with Benders decomposition

Loghman PIRI, Vahidreza GHEZAVATI, Ashkan HAFEZALKOTOB

Journal Article