Titlebook: Control of Higher–Dimensional PDEs; Flatness and Backste Thomas Meurer Book 2013 Springer-Verlag Berlin Heidelberg 2013 Backstepping.Contro

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Formal Integration Approach for Time Varying Systems with Parallelepiped Spatial Domainoblems. In the following a design technique is presented for boundary controlled scalar diffusion–convection–reaction systems with general spatially and time varying parameters defined on a 1 ≤ .–dimensional parallelepipedon. For this, it is assumed that the input relating state and gradient in a ge

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Backstepping for Linear Diffusion–Convection–Reaction Systems with Varying Parameters on 1–Dimensionthe application of a Lyapunov–based or passivation design to a part of the system followed by a successive reapplication by augmenting the subsystem at each step to finally recover the whole system [27, 11].

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Backstepping for Linear Diffusion–Convection–Reaction Systems with Varying Parameters on Parallelepith a single control and output located at the boundary is subsequently extended to linear diffusion–convection–reaction systems with orthotropic diffusion and convection defined on an .–dimensional parallelepipedon. Initial results towards the generalization of the backstepping concept can be, e.g.,

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https://doi.org/10.1007/978-3-642-30015-8Backstepping; Control Theory; Differential Flatness; Feedback Stabilization; Motion Planning; Trajectory

monopoly

978-3-642-43509-6Springer-Verlag Berlin Heidelberg 2013

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Thomas MeurerPresents recent model-based methods for motion planning and tracking control design for distributed-parameter systems governed by partial differential equations.Includes the control theoretic developm

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传授知识

Model Equations for Multi–Agent NetworksAVs and sensor networks over transportation systems to micro–satellite clusters (see, e.g., [19] for a rather recent overview). Thereby, different analysis and design approaches have emerged depending on the available communication topology and the considered formation control task.

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