Titlebook: Underwater Robots; Motion and Force Con Gianluca Antonelli Book 20062nd edition Springer-Verlag Berlin Heidelberg 2006 Force Control.Motion

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Gianluca Antonellit, then derives the adjoint problem and finally does the discretization of the so obtained adjoint flow equations. In the discrete case, one takes the discretized flow equations for the derivation of the discrete adjoint problem. This can be automated by so-called algorithmic differentiation (AD) to

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Gianluca Antonellicontrol for stochastic systems and present methods of their construction. Here we study HJB equation on Hilbert space and present some results on existence and regularity of solutions leading to the construction of optimal feedback control law. Then we use a new and direct approach where we consider

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3. Dynamic Control of 6-DOF AUVs,kes use of a 5-layer-structured neural network to improve the function approximation. In [175] a fuzzy membership function based-neural network is proposed; the control’s membership functions derivation is achieved by a back propagation network.

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Gianluca Antonellick in that dynamical systems are used to understand and optimize dynamical systems. One key to the new research results has been the recent discovery of rather 978-1-4471-3469-5978-1-4471-3467-1Series ISSN 0178-5354 Series E-ISSN 2197-7119

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