Add to ORKGWe propose a general algorithm for the systematic design of feedback strategies to stabilize the evolutionary dynamics of a generic disease model using an H∞ approach. We show that designing therapy concentrations can be cast as an H∞ state feedback synthesis problem, where the feedback gain is constrained to not only be strictly diagonal, but also that its diagonal elements satisfy an overdetermined set of linear equations. Leveraging recent results in positive systems, we develop an algorithm that always yields a stabilizing controller
International audienceThis paper proposes an efficient evolutionary approach to the fixed-order and ...
This paper covers the design of an Evolutionary Algorithm (EA), which should be able to synthesize a...
By incorporating feedback around systems we wish to manipulate, it is possible to improve their perf...
We propose a general algorithm for the systematic design of feedback strategies to stabilize the evo...
It has been shown that optimal controller synthesis for positive systems can be formulated as a line...
It has been shown that optimal controller synthesis for positive systems can be formulated as a line...
Abstract—Our previous results proposed an iterative scalable algorithm for the systematic design of ...
International audienceGenetic positive feedback loops are essential for cell differentiation process...
A generic nonlinear mathematical model describing the human immunological dynamics is used to design...
A generic nonlinear mathematical model describing the human immunological dynamics is used to design...
International audienceGenetic positive feedback loops are essential for cell decision making and cel...
A method to design simple linear controllers for mildly nonlinear systems is presented. In order to ...
International audienceIn the context of gene regulatory networks, a negative feedback loop is modell...
Cancer is one of the biggest challenges in healthcare. Fast diagnosis and personalized pharmacologic...
Abstract: A new method for the constrained robust set-point regulation of scalar linear systems is p...
International audienceThis paper proposes an efficient evolutionary approach to the fixed-order and ...
This paper covers the design of an Evolutionary Algorithm (EA), which should be able to synthesize a...
By incorporating feedback around systems we wish to manipulate, it is possible to improve their perf...
We propose a general algorithm for the systematic design of feedback strategies to stabilize the evo...
It has been shown that optimal controller synthesis for positive systems can be formulated as a line...
It has been shown that optimal controller synthesis for positive systems can be formulated as a line...
Abstract—Our previous results proposed an iterative scalable algorithm for the systematic design of ...
International audienceGenetic positive feedback loops are essential for cell differentiation process...
A generic nonlinear mathematical model describing the human immunological dynamics is used to design...
A generic nonlinear mathematical model describing the human immunological dynamics is used to design...
International audienceGenetic positive feedback loops are essential for cell decision making and cel...
A method to design simple linear controllers for mildly nonlinear systems is presented. In order to ...
International audienceIn the context of gene regulatory networks, a negative feedback loop is modell...
Cancer is one of the biggest challenges in healthcare. Fast diagnosis and personalized pharmacologic...
Abstract: A new method for the constrained robust set-point regulation of scalar linear systems is p...
International audienceThis paper proposes an efficient evolutionary approach to the fixed-order and ...
This paper covers the design of an Evolutionary Algorithm (EA), which should be able to synthesize a...
By incorporating feedback around systems we wish to manipulate, it is possible to improve their perf...