Passivity and Optimal Control of Descriptor Biological Complex Systems

Accurate mathematical models, to describe and analyze complex systems, cannot be established. This is especially true for biological complex systems because of the complexity of interaction among constituent units inside the whole system. Descriptor biological complex systems are a new research field in descriptor systems; there has been little research about passivity and optimal control of descriptor biological complex systems. Passivity analysis and feedback controller design of the system offers an important basis for the research of descriptor system theory applied to biological complex systems. In this paper, a poly-chamber model of the endocrine disruptor - Diethylstibestrol - moving in a human body is developed based on physiological rules. Passivity of this model is described and proved systematically. A feedback controller for this descriptor biological complex system is designed under the station of strict passivity, and an example of the controller is given for a particular instantiation of the model.

[1]  V. V. Skopetskii,et al.  Systems Analysis of Plants Affected by Interacting Processes , 2001 .

[2]  Laurent El Ghaoui,et al.  2. Some Standard Problems Involving LMIs , 1994 .

[3]  Harry L. Trentelman,et al.  The strict dissipativity synthesis problem and the rank of the coupling QDF , 2004, Syst. Control. Lett..

[4]  D. L. Scarnecchia,et al.  Fundamentals of Ecological Modelling , 1995 .

[5]  Yang Cheng-wu,et al.  Observer-based passive control for uncertain linear systems with delay in state and control input , 2005 .

[6]  Lihua Xie,et al.  Robust dissipative control for linear systems with dissipative uncertainty and nonlinear perturbation , 1997 .

[7]  Emilia Fridman,et al.  On delay-dependent passivity , 2002, IEEE Trans. Autom. Control..

[8]  Zhang Xue-feng Analysis and Optimization on Poly-chambers Models of Complex Control System , 2005 .

[9]  C D Humfrey,et al.  Reproductive health in humans and wildlife: are adverse trends associated with environmental chemical exposure? , 1997, The Science of the total environment.

[10]  Zhang Qing-ling Passive Control of Linear Singular Systems via Output Feedback , 2004 .

[11]  W. Foster,et al.  Human developmental exposure to endocrine active compounds. , 2002, Environmental toxicology and pharmacology.

[12]  Zhao Li-chun Passive Control of Linear Singular Systems , 2004 .

[13]  B. Jiménez,et al.  Environmental effects of endocrine disruptors and current methodologies for assessing wildlife health effects , 1997 .

[14]  Noshir Contractor,et al.  Complexity: The emerging science at the edge of order and chaos: Journal of Communication , 1994 .

[15]  L Yu ROBUST PASSIVE CONTROL OF LINEAR SYSTEMS WITH TIME VARYING UNCERTAIN PARAMETERS , 1998 .

[16]  R. Einspanier,et al.  Amphibians as a model to study endocrine disruptors: II. Estrogenic activity of environmental chemicals in vitro and in vivo. , 1999, The Science of the total environment.

[17]  V. V. Akimenko A Computer System Supporting Administrative Decision Making under the Conditions of Mixed Information for Systems of Ecological Monitoring of the Atmosphere , 2000 .

[18]  Dong Xin Robust passive control for singular systems with time-varying uncertainties , 2004 .

[19]  Stephen P. Boyd,et al.  Linear Matrix Inequalities in Systems and Control Theory , 1994 .

[20]  T Nakano,et al.  Modeling of signaling pathways for endocrine disruptors. , 2000, Bio Systems.

[21]  Li Li,et al.  Phase transitions in a new car-following traffic flow model , 2005 .