Approximating Reachable Sets of Linear Control System Using Multi-objective Programming

被引:0
|
作者
Zhang, Yangfan [1 ]
Shao, Lizhen [1 ]
Shao, Guangda [2 ]
Li, Boyu [1 ]
机构
[1] Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Minist Educ, Key Lab Adv Control Iron & Steel Proc, Beijing 100083, Peoples R China
[2] Shanghai Univ, Dept Math, Shanghai 200444, Peoples R China
基金
北京市自然科学基金;
关键词
Reachable set; Multi-objective programming; Revised normal boundary intersection method; ELLIPSOIDAL TECHNIQUES; DOMAIN;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A continuous control system can be discretized into a discrete control system by numerical methods for ordinary differential equations. Studies have shown that the reachable set of a continuous control system can be approximated by its discrete counterpart. In this paper, utilizing the convex property of the reachable set of a linear control system, we propose a method to approximate the convex reachable set of a discrete linear control system with multi-objective programming (MOP). We treat the reachable set problem as solving multiple MOP problems and the convex hull of the non-dominated sets of these MOPs is the reachable set. For each MOP the revised normal boundary intersection method is used to obtain non-dominated points. Finally, we use computational experiments to clearly illustrate the validity of this method.
引用
收藏
页码:1874 / 1877
页数:4
相关论文
共 50 条
  • [31] Distribution planning decisions using interactive fuzzy multi-objective linear programming
    Liang, TF
    [J]. FUZZY SETS AND SYSTEMS, 2006, 157 (10) : 1303 - 1316
  • [32] Interactive multi-objective transportation planning decisions using fuzzy linear programming
    Liang, Tien-Fu
    [J]. ASIA-PACIFIC JOURNAL OF OPERATIONAL RESEARCH, 2008, 25 (01) : 11 - 31
  • [33] Multi-objective collaborative optimization using linear physical programming with dynamic weight
    Haiyan Li
    Mingxu Ma
    Wenlei Zhang
    [J]. Journal of Mechanical Science and Technology, 2016, 30 : 763 - 770
  • [34] Optimal load curtailment using multi-objective fuzzy linear programming method
    Liu, Sige
    Fan, Mingtian
    Zhou, Xiaoxin
    Cheng, Haozhong
    [J]. EUROPEAN TRANSACTIONS ON ELECTRICAL POWER, 2010, 20 (08): : 1025 - 1039
  • [35] Optimization of multi-objective cropping pattern using linear and goal programming approaches
    Vivekanandan, N.
    Viswanathan, K.
    [J]. MAUSAM, 2007, 58 (03): : 323 - 334
  • [36] Lexicographic multi-objective linear programming using grossone methodology: Theory and algorithm
    Cococcioni, Marco
    Pappalardo, Massimo
    Sergeyev, Yaroslav D.
    [J]. APPLIED MATHEMATICS AND COMPUTATION, 2018, 318 : 298 - 311
  • [37] Fault Diagnosis of Analog Circuit Using Multi-objective Linear Programming and Fuzzy
    Tang, Chi
    Zhou, Longfu
    Luo, Erping
    Shen, Gonghao
    Wu, Xiaoming
    Run, Yili
    [J]. IEEE CIRCUITS AND SYSTEMS INTERNATIONAL CONFERENCE ON TESTING AND DIAGNOSIS, 2009, : 178 - +
  • [38] Multi-objective collaborative optimization using linear physical programming with dynamic weight
    Li, Haiyan
    Ma, Mingxu
    Zhang, Wenlei
    [J]. JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2016, 30 (02) : 763 - 770
  • [39] Approximating multi-objective scheduling problems
    Dabia, Said
    Talbi, El-Ghazali
    van Woensel, Tom
    De Kok, Ton
    [J]. COMPUTERS & OPERATIONS RESEARCH, 2013, 40 (05) : 1165 - 1175
  • [40] A linear programming approach to test efficiency in multi-objective linear fractional programming problems
    Lotfi, Farhad Hosseinzadeh
    Noora, Abbas Ali
    Jahanshahloo, Gholam Reza
    Khodabakhshi, Mohammad
    Payan, Ali
    [J]. APPLIED MATHEMATICAL MODELLING, 2010, 34 (12) : 4179 - 4183