Mechanisms underlying the evolution of robust nonlinear control in biology

Proceedings of the 1999 IEEE International Symposium on Intelligent Control Intelligent Systems and Semiotics (Cat. No.99CH37014) Pub Date : 1900-01-01 DOI:10.1109/ISIC.1999.796695

H. Bolouri

引用次数: 1

Abstract

A number of papers have highlighted remarkably high levels of robustness in the biochemical processes that control cellular function. This robustness is achieved in spite of the 'inexact' and highly stochastic nature of molecular interactions. Averaging, thresholding, resynchronization, and feedback are used extensively in biological systems to achieve robustness. How did incremental evolutionary changes lead to such sophisticated control algorithms? Can these principles be abstracted and used to artificially evolve robust nonlinear control in engineered systems? We present an analysis of the mechanisms underlying biological evolution and offer a model of molecular evolution as incremental model building and optimization.

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生物学中鲁棒非线性控制进化的机制

许多论文强调了控制细胞功能的生化过程中显著高水平的稳健性。尽管分子相互作用具有“不精确”和高度随机的性质，但这种鲁棒性是可以实现的。平均、阈值、再同步和反馈在生物系统中被广泛用于实现鲁棒性。渐进式的进化变化是如何导致如此复杂的控制算法的?这些原理是否可以被抽象出来，并用于工程系统中人工进化的鲁棒非线性控制?我们提出了生物进化机制的分析，并提供了一个分子进化模型作为增量模型的构建和优化。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of the 1999 IEEE International Symposium on Intelligent Control Intelligent Systems and Semiotics (Cat. No.99CH37014)

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