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150
MinimumTime Control of Boolean Networks
, 2012
"... Boolean networks (BNs) are discretetime dynamical systems with Boolean statevariables. BNs are recently attracting considerable interest as computational models for biological systems and, in particular, as models of gene regulating networks. Boolean control networks (BCNs) are Boolean networks wi ..."
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Cited by 5 (3 self)
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. In the ASSR every state and input vector is a canonical vector. Using this special structure yields an explicit statefeedback formula for all timeoptimal controls. To demonstrate the theoretical results, we develop a BCN model for the genetic switch controlling the lambda phage development upon infection
Intervention in contextsensitive probabilistic Boolean networks
, 2005
"... Motivation: Intervention in a gene regulatory network is used to help it avoid undesirable states, such as those associated with a disease. Several types of intervention have been studied in the framework of a probabilistic Boolean network (PBN), which is essentially a finite collection of Boolean n ..."
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Cited by 45 (15 self)
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networks in which at any discrete time point the gene state vector transitions according to the rules of one of the constituent networks. For an instantaneously random PBN, the governing Boolean network is randomly chosen at each time point. For a contextsensitive PBN, the governing Boolean network
1Optimal control of Boolean control networks
"... In this paper we address the optimal control problem for Boolean control networks (BCNs). We first consider the problem of finding the input sequences that minimize a given cost function over a finite time horizon. The problem solution is obtained by means of a recursive algorithm that represents th ..."
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In this paper we address the optimal control problem for Boolean control networks (BCNs). We first consider the problem of finding the input sequences that minimize a given cost function over a finite time horizon. The problem solution is obtained by means of a recursive algorithm that represents
A new feedback control mechanism for error correction in packetswitched networks
 in 44th IEEE CDC  ECC
, 2005
"... Abstract — Error correction mechanisms enable control and other realtime applications to be executed over unreliable packetswitched networks. By adding carefully adjusted redundancy to transmitted data at the sender, it is possible to recover lost data at the receiver and thereby improve effective ..."
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Cited by 11 (4 self)
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Abstract — Error correction mechanisms enable control and other realtime applications to be executed over unreliable packetswitched networks. By adding carefully adjusted redundancy to transmitted data at the sender, it is possible to recover lost data at the receiver and thereby improve
Evolution and Controllability of Cancer Networks: a Boolean Perspective
"... Abstract—Cancer forms a robust system capable of maintaining stable functioning (cell sustenance and proliferation) despite perturbations. Cancer progresses as stages over time typically with increasing aggressiveness and worsening prognosis. Characterizing these stages and identifying the genes dri ..."
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driving transitions between them is critical to understand cancer progression and to develop effective anticancer therapies. In this work, we propose a novel model for the ‘cancer system’ as a Boolean state space in which a Boolean network, built from proteininteraction and geneexpression data from
Stabilization Strategies of Supply Networks with Stochastic Switched Topology
"... In this paper, a dynamical supply networks model with stochastic switched topology is presented, in which the stochastic switched topology is dependent on a continuous time Markov process. The goal is to design the statefeedback control strategies to stabilize the dynamical supply networks. Based ..."
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In this paper, a dynamical supply networks model with stochastic switched topology is presented, in which the stochastic switched topology is dependent on a continuous time Markov process. The goal is to design the statefeedback control strategies to stabilize the dynamical supply networks. Based
BIOINFORMATICS Intervention in ContextSensitive Probabilistic Boolean Networks
"... Motivation: Intervention in a gene regulatory network is used to help it avoid undesirable states, such as those associated with a disease. Several types of intervention have been studied in the framework of a probabilistic Boolean network (PBN), which is essentially a finite collection of Boolean ..."
Abstract
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networks in which at any discrete time point the gene state vector transitions according to the rules of one of the constituent networks. For an instantaneously random PBN, the governing Boolean network is randomly chosen at each time point. For a contextsensitive PBN, the governing Boolean network
Hybrid State Feedback Controller Design of Networked Switched Control Systems with Packet Dropout
"... AbstractIt has become a common practice to employ networks in control systems for connecting controllers and sensors/actuators on controlled plants and processes. A networked switched control system, as a special case of networked control systems, is studied. Such a system with packet dropout is r ..."
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is represented as an asynchronous dynamical switched system. Both the switched control system state dropout and the switching signal dropout are considered in the system dynamics simultaneously. Sufficient conditions for the exponential stability and control synthesis of networked switched control systems at a
Switching controller for stabilization of linear systems with switched timevarying delays
 CDC'09, 48TH IEEE CONF. ON DECISION AND CONTROL
, 2009
"... This paper considers interval timevarying delay systems with delayed estimation of the delay. This case is often encountered in the Networked Control Systems (NCS) field. Based on LyapunovKrasovskii functional methods and linear matrix inequality (LMI) techniques, a switching state feedback contro ..."
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Cited by 7 (0 self)
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This paper considers interval timevarying delay systems with delayed estimation of the delay. This case is often encountered in the Networked Control Systems (NCS) field. Based on LyapunovKrasovskii functional methods and linear matrix inequality (LMI) techniques, a switching state feedback
Optimal control of switched autonomous linear systems
 in Proceedings of 40th IEEE Conf. On Decision and Control
, 2001
"... The paper deals with the optimal control of switched piecewise linear autonomous systems, where the objective is that of minimizing a quadratic performance index over an infinite time horizon. We assume that the switching sequence and the corresponding jump matrices sequence is known, while the unkn ..."
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Cited by 31 (7 self)
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the unknown switching times are the optimization parameters. The optimal control for this class of systems, assuming a switching sequence of finite length, takes the form of a homogeneous state feedback, i.e., it is possible to identify a homogeneous region of the state space such that an optimal switch
Results 1  10
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150