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Intervention in context-sensitive probabilistic Boolean networks
2004
Bioinformatics
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Several types of intervention have been studied in the framework of a probabilistic Boolean network (PBN), which is essentially a finite collection of Boolean networks in which at any discrete time point ...
PBN to desirably affect its dynamic evolution over a finite time horizon. ...
chain over a finite horizon. ...
doi:10.1093/bioinformatics/bti131
pmid:15531600
fatcat:zfep4symw5hqrisrzdmqbtgbpa
Adaptive intervention in probabilistic boolean networks
2009
Bioinformatics
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One strain of research has this problem from the perspective of control theory via the design of optimal Markov chain decision processes, mainly in the framework of probabilistic Boolean networks (PBNs ...
Results: This paper demonstrates the feasibility of applying on-line adaptive control to improve intervention performance in genetic regulatory networks modeled by PBNs. ...
This latter view, that one has a collection of Boolean networks, absent a PBN structure, was taken in Choudhary et al. (2006) , where a finite-horizon control policy was determined that performed optimally ...
doi:10.1093/bioinformatics/btp349
pmid:19505946
fatcat:cz6abcmrb5hz7gmfcy7sev4kam
Table of Contents
2022
IEEE Transactions on Neural Networks and Learning Systems
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Wang 145 Finite-Horizon Optimal Control of Boolean Control Networks: A Unified Graph-Theoretical Approach ............... ............................................................................. ...
Prescribed Performance Quantized Tracking Control for a Class of Delayed Switched Nonlinear Systems With Actuator Learning Robust Discriminant Subspace Based on Joint L 2,p -and L 2,s -Norm Distance Metrics ...
doi:10.1109/tnnls.2021.3134569
fatcat:i4njs3auvreefegwymv3uhvs7a
Adaptive intervention in Probabilistic Boolean Networks
2009
2009 American Control Conference
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Probabilistic Boolean Networks (PBNs) have been recently introduced as a paradigm for modeling genetic regulatory networks. ...
One of the objectives of PBN modeling is to use the network for the design and analysis of intervention strategies aimed at moving the network out of undesirable states, such as those associated with disease ...
Chain over a finite horizon. ...
doi:10.1109/acc.2009.5160465
dblp:conf/amcc/LayekDPD09
fatcat:nttq2gnbcne7vedhgp6dw2hlhm
Table of Contents
2021
IEEE Transactions on Automatic Control
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Scherpen 4926 Bounded Observer-Based Consensus Algorithm for Robust Finite-Time Tracking Control of Multiple Nonholonomic Chained-Form Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
Equations-Based Stability Analysis and Stabilization of Markovian Jump Boolean Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
doi:10.1109/tac.2021.3108656
fatcat:hhim3rkmzfdm5ep7yjz2yl2pu4
2013 Index IEEE Transactions on Automatic Control Vol. 58
2013
IEEE Transactions on Automatic Control
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., +, TAC Dec.
2013 3039-3053
Bismuth
State-Boolean algebra
Observability, Reconstructibility and State Observers of Boolean Control
Networks. ...
., +, TAC Nov. 2013 2834-2847 Observability, Reconstructibility and State Observers of Boolean Control Networks. ...
doi:10.1109/tac.2013.2295962
fatcat:3zpqog4r4nhoxgo4vodx4sj3l4
Table of contents
2021
IEEE Transactions on Neural Networks and Learning Systems
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Bajaj Policy Iteration Approach to the Infinite Horizon Average Optimal Control of Probabilistic Boolean Networks ...... ................................................................................ ...
Lin Output Feedback Q-Learning for Linear-Quadratic Discrete-Time Finite-Horizon Control Problems .................... .................................................................................. ...
doi:10.1109/tnnls.2021.3089399
fatcat:5eehdq2lqvfwxnb6a5ub72evje
Optimal Control of Boolean Control Networks with Discounted Cost: An Efficient Approach based on Deterministic Markov Decision Process
[article]
2020
arXiv
pre-print
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This paper deals with the infinite-horizon optimal control problem for Boolean control networks (BCNs) with a discounted-cost criterion. ...
First, we show the eligibility of a DMDP to model the control process of a BCN and the existence of an optimal solution. ...
Wu et al. have investigated the infinite-horizon optimal control of the ara operon network with average cost in [19] . ...
arXiv:2003.06154v1
fatcat:uut3vbjjuvbpzoerlv6ybo63bi
Finite-time Controllability and Set Controllability of Impulsive Probabilistic Boolean Control Networks
2020
IEEE Access
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This paper addresses the finite-time controllability and set controllability of impulsive probabilistic Boolean control networks (IPBCNs). ...
INDEX TERMS Probabilistic Boolean control network, impulsive effect, controllability, set controllability, algebraic state space representation. ...
[38] investigated the infinite-horizon optimal control problem of probabilistic Boolean control networks (PBCNs). ...
doi:10.1109/access.2020.3002533
fatcat:ncxkvx6cpzbetd4jegpew4dnbm
A model predictive control approach to networked systems
2007
2007 46th IEEE Conference on Decision and Control
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This paper addresses the problem of controller design for networked control systems regulated by a network data transmission scheme proposed in [23] . ...
It is shown that the non-convexity feature of this class of networked control systems rules out piecewise affine controllers that are designable for linear convex problems. ...
In the current literature of MPC, an infinite prediction horizon MPC problem is always assumed to be solvable when a finite horizon MPC problem is to be dealt with. ...
doi:10.1109/cdc.2007.4434214
dblp:conf/cdc/ZhangCC07a
fatcat:ifets7fzqbh2phbn65yrinugtu
Intervention in Probabilistic Gene Regulatory Networks
2006
Current Bioinformatics
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Expected cost for a finite horizon problem of length 5 originating from the different initial states [9] . ...
This paper provides a tutorial survey of the intervention approaches developed so far in the literature for probabilistic gene networks (probabilistic Boolean networks) and outlines some of the open challenges ...
We consider a finite-horizon problem, where the control is applied only over a finite number of steps. ...
doi:10.2174/157489306777011978
fatcat:zqjbajzorrcepo6uh4jrw77zxq
Table of Contents
2021
IEEE Transactions on Automatic Control
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Manes 6085 Asymptotic Stability of Boolean Networks With Multiple Missing Data . . . . . . . C. Huang, W. Wang, J. Lu, and J. ...
Shorten 6017 Backward Reachability for Polynomial Systems on a Finite Horizon . . . . . . . . H. Yin, M. Arcak, A. Packard, and P. ...
doi:10.1109/tac.2021.3127403
fatcat:gd2yja5fynclpbtib4wjosstlu
2021 Index IEEE Transactions on Cybernetics Vol. 51
2021
IEEE Transactions on Cybernetics
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The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination. ...
., +, TCYB Jan. 2021 373-381 Boolean functions Perturbation Analysis for Finite-Time Stability and Stabilization of Probabi-listic Boolean Networks. ...
of Boolean Control Networks via a Minimum Number Mayer-Type Optimal Control of Probabilistic Boolean Control Network Epidemics Solving Large-Scale Multiobjective Optimization Problems With Sparse Nearest ...
doi:10.1109/tcyb.2021.3139447
fatcat:myjx3olwvfcfpgnwvbuujwzyoi
Deep Reinforcement Learning for Stabilization of Large-scale Probabilistic Boolean Networks
[article]
2022
arXiv
pre-print
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Indeed, we explore the scalability of the deep RL approach to (set) stabilization of large-scale PBNs and demonstrate successful control on large networks, including a metastatic melanoma PBN with 200 ...
The ability to direct a Probabilistic Boolean Network (PBN) to a desired state is important to applications such as targeted therapeutics in cancer biology. ...
Code and example networks can be found at: https://github.com/UoS-PLCCN/pbn-rl/ and https://github.com/UoS-PLCCN/gym-PBN ...
arXiv:2210.12229v2
fatcat:ieafb7l3vfawdprul7euk7as5i
Recent developments in Boolean networks control
2015
Journal of Control and Decision
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The aim of this survey paper is to provide the state of the art of the research on control and optimal control of Boolean Control Networks (BNCs), under the assumption that all the state variables are ...
Finite and infinite horizon optimal control are subsequently considered, and solution algorithms are provided, based on suitable adaptations of the Riccati difference and algebraic equations. ...
We first introduce the finite horizon optimal control problem. ...
doi:10.1080/23307706.2015.1098577
fatcat:vlimbhvy35hnngd7veo6zws7g4
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