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ESSMAC
2003
Springer
14 years 21 days 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
CDC
2009
IEEE
137views Control Systems» more  CDC 2009»
14 years 6 days ago
Generalized Model Predictive Direct Torque Control: Long prediction horizons and minimization of switching losses
Abstract— This paper presents a generalized Model Predictive Direct Torque Control scheme with an extended horizon, which is composed of multiple hinges (groups of switch transit...
Tobias Geyer
HYBRID
2003
Springer
14 years 21 days ago
Modeling and Control of SMT Manufacturing Lines Using Hybrid Dynamic Systems
Abstract. In this paper we show how hybrid control and modeling techniques can be put to work for solving a problem of industrial relevance in Surface Mount Technology (SMT) manufa...
Leandro G. Barajas, Ashish Kansal, Abhinav Saxena,...
PPSN
2010
Springer
13 years 5 months ago
Evolving a Single Scalable Controller for an Octopus Arm with a Variable Number of Segments
Abstract. While traditional approaches to machine learning are sensitive to highdimensional state and action spaces, this paper demonstrates how an indirectly encoded neurocontroll...
Brian G. Woolley, Kenneth O. Stanley
CORR
2010
Springer
139views Education» more  CORR 2010»
13 years 7 months ago
Pushdown Control-Flow Analysis of Higher-Order Programs
Context-free approaches to static analysis gain precision over classical approaches by perfectly matching returns to call sites-a property that eliminates spurious interprocedural...
Christopher Earl, Matthew Might, David Van Horn