Fidan, B.Sezer, ErolAkar, M.2016-02-082016-02-082003-06http://hdl.handle.net/11693/27516Date of Conference: 4-6 June 2003Conference name: Proceedings of the 2003 American Control ConferenceAn efficient approach to nonlinear control problems in which the plant is to be driven to a desired state using a neural network controller in a number of steps is by representing the whole process as a multi - stage neural network. In this paper, an explicit formulation of the back propagation algorithm is developed for such networks. Later, this approach is used to build up a path planner for a mechanical snake (a robot composed of a sequence of articulated links). This path planner, together with a tracking algorithm, is shown to get the mechanical snake out of a collision-free closed region.EnglishAlgorithmsBackpropagationMotion planningNeural networksMechanical snakeNonlinear control systemsConference Paper10.1109/ACC.2003.1239764