Constraint-based design of embedded intelligent systems

Embedded Systems Design in Intelligent Industrial Automation

1Dipartimento di Elettronica e Informazione, Politecnico di Milano, Milano 20133, Italy 2Department of Production Engineering, Tampere University of Technology, 33101 Tampere, Finland 3O3neida Inc., 135 Dunbarton Court, Ottawa, Ontario, Canada K1K 4L6 4O3neida Europe, 42 rue de l’Eglise, 1150 Brussels, Belgium 5Department of Electrical and Computer Engineering, University of Auckland, Private B...

Proactive Assistance in Ecologies of Physically Embedded Intelligent Systems: A Constraint-Based Approach

The main goal of this Chapter is to introduce SAM, an integrated architecture for concurrent activity recognition, planning and execution. SAM provides a general framework to define how an intelligent environment can assess contextual information from sensory data. The architecture builds upon a temporal reasoning framework operating in closed-loop between physical sensing and actuation compone...

Intelligent Embedded Systems

This work describes a modelling method for a non-linear system which is based on a multi-point linear approximation for a model predictive control (MPC) purpose. The method is derived from artificial neural network techniques and exploits good properties of a Orthogonal Activation Function based Neural Network (OAF-NN). In this work, we describe a technique of a Explicit-MPC (EMPC) which perfor...

Component-Based Design of Embedded Systems

C-Based Design of Heterogeneous Embedded Systems

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