On Optimal Time-Varying Feedback Controllability for Probabilistic Boolean Control Networks

被引:29
作者
Toyoda, Mitsuru [1 ]
Wu, Yuhu [2 ,3 ]
机构
[1] Inst Stat Math, Tokyo 1068569, Japan
[2] Dalian Univ Technol, Key Lab Intelligent Control & Optimizat Ind Equip, Minist Educ, Dalian 116024, Peoples R China
[3] Dalia Univ Technol, Sch Control Sci & Engn, Dalian 116024, Peoples R China
基金
中国国家自然科学基金; 日本学术振兴会;
关键词
Controllability; Probabilistic logic; Optimal control; Boolean functions; Optimization; State feedback; Adaptive control; probabilistic Boolean control network (PBCN); semitensor product (STP); stochastic optimal control; DYNAMICS; SYNCHRONIZATION; OBSERVABILITY; DESIGN; STABILIZATION; EXPRESSION; ALGORITHM;
D O I
10.1109/TNNLS.2019.2927241
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This brief studies controllability for probabilistic Boolean control network (PBCN) with time-varying feedback control laws. The concept of feedback controllability with an arbitrary probability for PBCNs is formulated first, and a control problem to maximize the probability of time-varying feedback controllability is investigated afterward. By introducing semitensor product (STP) technique, an equivalent multistage decision problem is deduced, and then a novel optimization algorithm is proposed to obtain the maximum probability of controllability and the corresponding optimal feedback law simultaneously. The advantages of the time-varying optimal controller obtained by the proposed algorithm, compared to the time-invariant one, are illustrated by numerical simulations.
引用
收藏
页码:2202 / 2208
页数:7
相关论文
共 45 条
[1]   From structure to dynamics: Frequency tuning in the p53-Mdm2 network I. Logical approach [J].
Abou-Jaoude, Wassim ;
Ouattara, Djomangan A. ;
Kaufman, Marcelle .
JOURNAL OF THEORETICAL BIOLOGY, 2009, 258 (04) :561-577
[2]   Inferring qualitative relations in genetic networks and metabolic pathways [J].
Akutsu, T ;
Miyano, S ;
Kuhara, S .
BIOINFORMATICS, 2000, 16 (08) :727-734
[3]   Control of Boolean networks: Hardness results and algorithms for tree structured networks [J].
Akutsu, Tatsuya ;
Hayashida, Morihiro ;
Ching, Wai-Ki ;
Ng, Michael K. .
JOURNAL OF THEORETICAL BIOLOGY, 2007, 244 (04) :670-679
[4]  
[Anonymous], 2014, Markov decision processes: discrete stochastic dynamic programming
[5]   Control of systems integrating logic, dynamics, and constraints [J].
Bemporad, A ;
Morari, M .
AUTOMATICA, 1999, 35 (03) :407-427
[6]  
Bertsekas Dimitri P, 2000, Dynamic Programming and Optimal Control, V1
[7]  
Chen H., IEEE T NEURAL NETW L
[8]   Synchronization for the Realization-Dependent Probabilistic Boolean Networks [J].
Chen, Hongwei ;
Liang, Jinling ;
Lu, Jianquan ;
Qiu, Jianlong .
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 29 (04) :819-831
[9]   Observability of Boolean networks via set controllability approach [J].
Cheng, Daizhan ;
Li, Changxi ;
He, Fenghua .
SYSTEMS & CONTROL LETTERS, 2018, 115 :22-25
[10]   Receding Horizon Based Feedback Optimization for Mix-Valued Logical Networks [J].
Cheng, Daizhan ;
Zhao, Yin ;
Xu, Tingting .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2015, 60 (12) :3362-3366