Searched for: author%3A%22De+Weerdt%2C+E.%22
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document
De Weerdt, E. (author), Van Kampen, E. (author), Chu, Q.P. (author), Mulder, J.A. (author)
Trajectory optimization has been a large field of research for many years. The drawback is that for non-convex, constrained problems practically all available solvers cannot guarantee that the globally optimal trajectory is found. Interval analysis based solvers however can provide this guarantee. Interval analysis has been applied to trajectory...
conference paper 2011
document
De Weerdt, E. (author), Van Oort, E.R. (author), Van Kampen, E. (author), Chu, Q.P. (author)
Level set methods are used to determine the reachable set for a given time domain. In the aerospace industry level set methods are used to determine for example flight envelopes. A new level set method is presented which uses interval analysis to give guaranteed bounds on the solution. Unlike the current grid-based methods the new method does...
conference paper 2011
document
De Weerdt, E. (author)
The field of global optimization has been an active one for many years. By far the most applied methods are gradient and evolutionary based algorithms. The most appearing drawback of those types of methods is that one cannot guarantee that the global solution is found within finite time. Moreover, if the global solution is found (by chance), the...
doctoral thesis 2010
document
De Weerdt, E. (author), Van Kampen, E.J. (author), Chu, Q.P. (author)
The invention relates to a transmitter-receiver system comprising at least three transmitters and at least a first receiver and a second receiver, wherein the receivers are connected to a computing device that is arranged to analyse signals that said receivers receive from said transmitters and to calculate length and attitude information of an...
patent 2009
document
De Weerdt, E. (author), Chu, Q.P. (author), Mulder, J.A. (author)
The problem of output optimization within a specified input space of neural networks (NNs) with fixed weights is discussed in this paper. The problem is (highly) nonlinear when nonlinear activation functions are used. This global optimization problem is encountered in the reinforcement learning (RL) community. Interval analysis is applied to...
journal article 2009
Searched for: author%3A%22De+Weerdt%2C+E.%22
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