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We use an engineering approach based on state space modeling to develop the emotional engine of an artificial agent. The model is inspired by the latest achievements of human-dog interaction research. Our goal is to build a model that can be easily integrated into existing applications in the field of robotics, computing and communication systems. The proposed model ensures this integration by using...
Various approaches to control aeroelastic wing section with structural nonlinearity emerged in the last years. One of the approaches is based on the Tensor Product (TP) model transformation and the feasibility test of linear matrix inequalities (LMIs) under the Parallel Distributed Compensation framework. The main contribution of this paper is that it extends the previously established qLPV model...
The main contribution of this paper is a new sliding mode design for nonlinear systems. This method is based on Tensor Product Model Transformation. It is partially extension and combination of the classical optimal manifold design for linear (or linearized) system and sector sliding mode control. This new approach enables a systematic design and decomposition of optimal sliding sector by the High...
In haptic and telemanipulation devices stability and transparency are contradicting requirements. Due to the network delay the control process may become unstable. In our research we consider the coupled impedance type control algorithms for force reflecting telemanipulation. There are several solutions in the control literature to handle constant time delay in feedback systems, but varying delay...
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