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ESANN
1998
14 years 11 months ago
Lazy learning for control design
This paper presents two local methods for the control of discrete-time unknown nonlinear dynamical systems, when only a limited amount of input-output data is available. The modeli...
Gianluca Bontempi, Mauro Birattari, Hugues Bersini
RAS
2006
102views more  RAS 2006»
14 years 9 months ago
Direct visual tracking control of remote cellular robots
This paper presents the design of a stable non-linear control system for the remote visual tracking of cellular robots. The robot is controlled through visual feedback based on th...
Ricardo O. Carelli, José Santos-Victor, Fla...
DAGM
2007
Springer
15 years 3 months ago
Recursive Estimation with Implicit Constraints
Recursive estimation or Kalman filtering usually relies on explicit model functions, that directly and explicitly describe the effect of the parameters on the observations. Howeve...
Richard Steffen, Christian Beder
79
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FUIN
2006
85views more  FUIN 2006»
14 years 9 months ago
Towards Integrated Verification of Timed Transition Models
Abstract. This paper describes an attempt to combine theorem proving and model-checking to formally verify real-time systems in a discrete time setting. The Timed Automata Modeling...
Mark Lawford, Vera Pantelic, Hong Zhang
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
15 years 3 months ago
Learning noise
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
Michael D. Schmidt, Hod Lipson