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The paper is concerned with patchy vector fields, a class of discontinuous, piecewise smooth vector fields that were introduced in [A-B] to study feedback stabilization problems. We prove the stability of the corresponding solution set w.r.t. a wide class of impulsive perturbations. These results yield the robusteness of patchy feedback controls in the… (More)

A modified PNN training algorithm is proposed. The standard PNN, though requiring a very short training time, when implemented in hardware exhibits the drawbacks of being costly in terms of classification time and of requiring an unlimited number of units. The proposed modification overcomes the latter drawback by introducing an elimination criterion to… (More)

Consider the initial-boundary value problem for a strictly hyperbolic, genuinely nonlinear, Temple class system of conservation laws ut + f (u)x = 0, u(0, x) = u(x), u(t, a) = ua(t), u(t, b) = u b (t), (1) on the domain Ω = {(t, x) ∈ R 2 : t ≥ 0, a ≤ x ≤ b}. We study the mixed problem (1) from the point of view of control theory, taking the initial… (More)

The paper describes PZSI architectures for sorting ana-log quantities. The elementary circuit unit yields analog representations of sorted values and digitally encodes the corresponding ranks in the list. The length of the sorted list can be digitally programmed at run time, hence partial sortings are also supported. The modular, mixed analog/digital… (More)

This paper presents a novel tool, based on Simulink™, for model-based high-level HW/SW codesign of high-performance digital signal processing systems. The tool has been tailored to support HW/SW configurable platforms, in particular those from Sundance Microprocessor Technology [1]. 1. INTRODUCTION Modern digital signal processing systems (DSPS) require… (More)

The design and implementation of a vector quantization neural network is presented. The training algorithm is Neural Gas. The implementation is fully parallel and mainly analog (only control function and long-term memory are digital). A sequential implementation of the required sorting function allows to compute the Neural Gas updating step.

The theoretical model of Distributed Associative Memories (DAMs) is reformulated by simple algebraic derivations that make the memory device practically applicable to high-dimensional, visual data processing. In particular, the analysis shows that the weight of both the computational cost for retrieval and the physical memory occupation can be reduced from… (More)