Hardware-software co-design of embedded systems: the POLIS approach
Hardware-software co-design of embedded systems: the POLIS approach
The design of a neuro-microprocessor
IEEE Transactions on Neural Networks
Maharadja: A System for the Real Time Simulation of RBF with the Mahalanobis Distance
Neural Processing Letters
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Artificial Neural Networks (NNs) and Fuzzy Systems (FS) are high parallel structures that consist of a large number of elementary non-linear units (called neurons) fully interconnected. In this article we present a HW/SW Co-Design approach to the partition of a complex control architecture on a digital hardware implementation of NNs combined with a host computer (DSP systems, PCs, etc.) resulting in a powerful system used in different applications.The NN processes most of the tasks, while the host performs signal pre-processing and learning algorithms. In some control applications the host also tracks some discrete states of the plant by implementing a finite state automata and/or verifying plant safety boundaries operations. The tight link with the host allows the NN hardware to be very simple since several operations related with the NNs (learning, weights initialization, etc.) can be performed by the host computer.The board we built using these techniques, can be used to implement intelligent control paradigms mixing Neuro-Fuzzy algorithms with finite state automata and/or digital control algorithms.