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» Control of Complex Peak-to-Peak Dynamics
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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
GECCO
2009
Springer
14 years 1 months ago
NEAT in increasingly non-linear control situations
Evolution of neural networks, as implemented in NEAT, has proven itself successful on a variety of low-level control problems such as pole balancing and vehicle control. Nonethele...
Matthias J. Linhardt, Martin V. Butz
AGENTS
2000
Springer
14 years 1 months ago
Hormone-based control for self-reconfigurable robots
Self-reconfigurable or metamorphic robots can change their individual and collective shape and size to meet operational demands. Since these robots are constructed from a set of a...
Wei-Min Shen, Yimin Lu, Peter M. Will
IROS
2008
IEEE
126views Robotics» more  IROS 2008»
14 years 3 months ago
High-dimensional underactuated motion planning via task space control
Abstract— Kinodynamic planning algorithms have the potential to find feasible control trajectories which accomplish a task even in very nonlinear or constrained dynamical system...
Alexander C. Shkolnik, Russ Tedrake
ECAL
2007
Springer
14 years 3 months ago
Controlling an Anthropomimetic Robot: A Preliminary Investigation
The human body has a complex skeleton, giving a very high number of degrees of freedom, and is actuated by a large number of elastic elements muscles and tendons. As a consequence,...
Hugo Gravato Marques, Richard Newcombe, Owen Holla...