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  • Influence
Biomimicry of bacterial foraging for distributed optimization and control
We explain the biology and physics underlying the chemotactic (foraging) behavior of E. coli bacteria. We explain a variety of bacterial swarming and social foraging behaviors and discuss the controlExpand
Stable adaptive control using fuzzy systems and neural networks
TLDR
Stable direct and indirect adaptive controllers are presented, which use Takagi-Sugeno fuzzy systems or neural networks to provide asymptotic tracking of a reference signal for a class of continuous-time nonlinear plants with poorly understood dynamics. Expand
Fuzzy Control
TLDR
Fuzzy Control by Kevin Passino and Stephen Yurkovich is a hands-on introduction to fuzzy control that provides a wealth of examples and case studies on design and implementation. Expand
Stability analysis of social foraging swarms
  • V. Gazi, K. Passino
  • Mathematics, Medicine
  • IEEE Transactions on Systems, Man, and…
  • 1 February 2004
TLDR
In this article, we developed a simple model of swarming in the presence of an attractant/repellent profile and analyzed its stability properties for different profiles. Expand
Stability analysis of swarms
  • V. Gazi, K. Passino
  • Engineering
  • Proceedings of the American Control Conference…
  • 8 May 2002
TLDR
We specify an "individual-based" continuous time model for swarm aggregation in n-dimensional space and study its stability properties. Expand
Stability analysis of swarms
  • V. Gazi, K. Passino
  • Mathematics, Computer Science
  • IEEE Trans. Autom. Control.
  • 15 April 2003
TLDR
In this note, we specify an "individual-based" continuous-time model for swarm aggregation in n-dimensional space and study its stability properties. Expand
Biomimicry of Social Foraging Bacteria for Distributed Optimization: Models, Principles, and Emergent Behaviors
In this paper, we explain the social foraging behavior of E. coli and M. xanthus bacteria and develop simulation models based on the principles of foraging theory that view foraging as optimization.Expand
A class of attractions/repulsion functions for stable swarm aggregations
In this brief article, we consider an M-member `individual-based' continuous time swarm model in an n-dimensional space and extend the results in Gazi and Passino (2003) by specifying a general classExpand
Decentralized adaptive control of nonlinear systems using radial basis neural networks
TLDR
Stable direct and indirect decentralized adaptive radial basis neural network controllers are presented for a class of interconnected nonlinear systems with asymptotic tracking of a reference trajectory. Expand
Biomimicry for Optimization, Control and Automation
  • K. Passino
  • Engineering
  • IEEE Transactions on Automatic Control
  • 27 August 2004
Part I: Introduction.- Challenges in Computer Control and Automation.- Scientific Foundations for Biomimicry.- For Further Study.- Part II: Elements of Decision Making.- Neural Network Substrates forExpand
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