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AUTOMATICA
2008
154views more  AUTOMATICA 2008»
13 years 9 months ago
Approximately bisimilar symbolic models for nonlinear control systems
Control systems are usually modeled by differential equations describing how physical phenomena can be influenced by certain control parameters or inputs. Although these models ar...
Giordano Pola, Antoine Girard, Paulo Tabuada
ESSMAC
2003
Springer
14 years 2 months ago
Nonlinear Predictive Control with a Gaussian Process Model
Abstract. Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of nonlinear dynamic systems. The Gaussian processes can h...
Jus Kocijan, Roderick Murray-Smith
ESANN
2006
13 years 10 months ago
Nonlinear dynamics in neural computation
This tutorial reports on the use of nonlinear dynamics in several different models of neural systems. We discuss a number of distinct approaches to neural information processing ba...
Tjeerd Olde Scheper, Nigel Crook
AUTOMATICA
2008
96views more  AUTOMATICA 2008»
13 years 9 months ago
Nonlinear gliding stability and control for vehicles with hydrodynamic forcing
This paper presents Lyapunov functions for proving stability of steady gliding motions for vehicles with hydrodynamic or aerodynamic forces and moments. Because of lifting forces ...
Pradeep Bhatta, Naomi Ehrich Leonard
CDC
2008
IEEE
103views Control Systems» more  CDC 2008»
14 years 3 months ago
Symbolic models for nonlinear control systems affected by disturbances
Abstract— Symbolic models are abstract descriptions of continuous systems in which symbols represent aggregates of continuous states. In the last few years there has been a growi...
Giordano Pola, Paulo Tabuada