Passivity-based Stability/Instability Theory for Genetic Network Analysis

2016 Fiscal Year Final Research Report

• Project/Area Number: 26820163
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Control engineering/System engineering
• Research Institution: Keio University
• Principal Investigator: Inoue Masaki 慶應義塾大学, 理工学部(矢上), 助教 (80725680)
• Project Period (FY): 2014-04-01 – 2017-03-31
• Keywords: 受動性 / ロバスト性 / 遺伝子ネットワーク / 不安定性

Outline of Final Research Achievements

In this research project, we aim to develop passivity-based robustness analysis of genetic network systems. The following two problems are mainly addressed and solved: 1) Robust instability analysis for general nonlinear dynamical systems is studied. Then, the proposed analysis theory is applied to qualitative and quantitative robustness analysis of oscillatory behavior appears in genetic networks and cell differentiation and reprogramming. 2) We found the robustness of a class of genetic networks is reinforced via the network scale-expansion. The reinforcement is modeled by the interconnection of strictly-passive dynamical systems. It is further investigated that the essence of the model is applicable for design problems in other research fields such as stabilization of power systems.

Free Research Field

制御工学