This chapter contains sections titled: Historical Review Supervised Multilayer Networks Unsupervised Neural Networks: Kohonen Network Unsupervised Networks: Adaptive Resonance Theory Network Model Validation Summary References Recommended Exercises

Nonlinear System Identification

Wireless body area networks (WBANs) form a new and interesting area in the world of remote health monitoring. An important concern in such networks is the communication between the sensors. This communication needs to be energy efficient and highly reliable while keeping delays low. Mobility also has to be supported as the nodes are positioned on different parts of the body that move with regard to each other. In this paper, we present a new cross-layer communication protocol for WBANs: CICADA or Cascading Information retrieval by Controlling Access with Distributed slot Assignment. The protocol sets up a network tree in a distributed manner. This tree structure is subsequently used to guarantee collision free access to the medium and to route data towards the sink. The paper analyzes CICADA and shows simulation results. The protocol offers low delay and good resilience to mobility. The energy usage is low as the nodes can sleep in slots where they are not transmitting or receiving.

A low-delay protocol for multishop wireless body area networks

Adaptive receding horizon control for constrained MIMO systems

Rolling element bearings are among the most widely used and also vulnerable components in rotating machinery equipment. Recently, prognostics and health management of rolling element bearings is more and more attractive both in academics and industry. However, many studies have been focusing on the prognostic aspect of bearing prognostics and health management and few efforts have been performed in relation to the optimal degradation feature selection issue. For more effective and efficient remaining useful life predictions, three goodness metrics of correlation, monotonicity and robustness are defined and combined for automatically more relevant degradation feature selection in this paper. Effectiveness of the proposed method is verified by rolling element bearing degradation experiments. Copyright © 2015 John Wiley & Sons, Ltd.

Degradation Feature Selection for Remaining Useful Life Prediction of Rolling Element Bearings

The field of photovoltaics gives the opportunity to make our buildings "smart'' and our portable devices "independent", provided effective energy sources can be developed for use in ambient indoor ...

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Dye-sensitized solar cells under ambient light powering machine learning : towards autonomous smart sensors for the internet of things

This paper considers the problem of the observer s design for large scale systems. A new approach for decentralized state estimator is proposed where interconnections are not available. An example is given to illustrate our approach.

Decentralized observers design for large scale systems

Structural identification of a thermal process using the volterra model

http://www.nt.ntnu.no/users/skoge/prost/proceedings/ifac2014/media/files/2654.pdf

Observer-based bang-bang control for a class of nonlinear stochastic systems

In this paper, we consider the synthesis of Finite Time Observers for a class of nonlinear systems by solving some LMIs problem. We develop a method to calculate a constant gain which is used to determine an observer for a class of nonlinear systems. An application to the manipulator arm illustrates the proposed theory and point out the ameliorations comparing with asymptotic observers.

Finite Time Observers for a class of nonlinear system

Modeling multivariable LTI systems using generalized Orthonormal basis functions requires the determination of optimal poles of these bases. This paper develops a new iterative method of poles optimization for the generalized Orthonormal Base using the Gauss-Newton algorithm and the state space representation of these bases.

http://www.wseas.us/e-library/conferences/2007corfu/papers/540-144.pdf

Hassani Messaoud

Papers

Decentralized observers design for large scale systems

Structural identification of a thermal process using the volterra model

Observer-based bang-bang control for a class of nonlinear stochastic systems

Finite Time Observers for a class of nonlinear system

A new estimation method of the poles for the generalized orthonormal bases filters