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95
Voted
CDC
2008
IEEE
109views Control Systems» more  CDC 2008»
15 years 8 months ago
Sensitivity analysis and computational uncertainty with applications to control of nonlinear parabolic partial differential equa
— In this paper we illustrate how sensitivities can be used to provide a practical precursor to dynamic transitions and numerical uncertainty in parameterized nonlinear parabolic...
John A. Burns, Lisa G. Davis
ACIIDS
2009
IEEE
159views Database» more  ACIIDS 2009»
14 years 11 months ago
Application to GA-Based Fuzzy Control for Nonlinear Systems with Uncertainty
In this study, we strive to combine the advantages of fuzzy theory, genetic algorithms (GA), H tracking control schemes, smooth control and adaptive laws to design an adaptive fuzz...
Po-Chen Chen, Ken Yeh, Cheng-Wu Chen, Chen-Yuan Ch...
107
Voted
CDC
2008
IEEE
144views Control Systems» more  CDC 2008»
15 years 8 months ago
Control software model checking using bisimulation functions for nonlinear systems
— This paper extends a method for integrating source-code model checking with dynamic system analysis to verify properties of controllers for nonlinear dynamic systems. Source-co...
James Kapinski, Alexandre Donzé, Flavio Ler...
109
Voted
CDC
2008
IEEE
143views Control Systems» more  CDC 2008»
15 years 8 months ago
On the use of numerical methods for analysis and control of nonlinear convective systems
Abstract— A common approach to designing feedback controllers for nonlinear partial differential equations (PDEs) is to linearize the system about an equilibrium and use the line...
Edward Allen, John A. Burns, David S. Gilliam
100
Voted
SIMPAR
2010
97views Robotics» more  SIMPAR 2010»
14 years 11 months ago
A Parameterless Biologically Inspired Control Algorithm Robust to Nonlinearities, Dead-Times and Low-Pass Filtering Effects
A biologically inspired control algorithm for robot control was introduced in a previous work. The algorithm is robust to noisy sensor information and hardware failures. In this pa...
Fabio Dalla Libera, Shuhei Ikemoto, Takashi Minato...