Series Preface * Preface to the Third Edition * 1 Linear Systems * 2 Nonlinear Systems: Local Theory * 3 Nonlinear Systems: Global Theory * 4 Nonlinear Systems: Bifurcation Theory * References * Index

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Differential Equations and Dynamical Systems

The demand for electricity is increasing day by day, which cannot be fulfilled by non-renewable energy sources alone. Renewable energy sources such as solar and wind are omnipresent and environmental friendly. The renewable emulnergy sources are emerging options to fulfill the energy demand, but unreliable due to the stochastic nature of their occurrence. Hybrid renewable energy system (HRES) combines two or more renewable energy sources like wind turbine and solar system. The objective of this paper is to present a comprehensive review of various aspects of HRES. This paper discusses prefeasibility analysis, optimum sizing, modeling, control aspects and reliability issues. The application of evolutionary technique and game theory in hybrid renewable energy is also presented in this paper.

Solar–wind hybrid renewable energy system: A review

Fractional modelling and identification of thermal systems

FPGA realization of multi-scroll chaotic oscillators

Finite-time and fixed-time synchronization of a class of inertial neural networks with multi-proportional delays and its application to secure communication

https://hal.archives-ouvertes.fr/hal-01724031/document

Finite time boundedness of neutral high-order Hopfield neural networks with time delay in the leakage term and mixed time delays

https://hal.archives-ouvertes.fr/hal-02886087/document

Leader-following consensus for multi-agent systems with nonlinear dynamics subject to additive bounded disturbances and asynchronously sampled outputs

Diesel engine torque ripple reduction through LPV control in hybrid electric vehicle powertrain: Experimental results

In this study, the authors propose a novel control strategy of torque ripple reduction in hybrid electric vehicles (HEVs). By its periodic cycle of power production, the internal combustion engine used in a hybrid vehicle provides a torque that fluctuates constantly. This is problematic for vehicle manufacturers since this torque ripple creates uncomfortable vibrations and mechanical damage. To achieve this active control, the problem is reformulated in complex notation in the frequency domain with respect to the main order of the fluctuations. A permanent magnet synchronous machine is mounted on the crankshaft in order to generate a torque sequence opposing ripple torque. The control strategy is based on a static output feedback synthesis under & H
 ∞ 
performance specification. A complete modelling of the hybrid propulsion from an experimental test bench is achieved. The model is performed at low speed (900 rpm). In fact, at this speed, the ripple is very restrictive. Experimental results highlight the control approach interest.

H α control strategy of motor torque ripple in hybrid electric vehicles: an experimental study

The aim of this paper is to study the second-order practical consensus of homogeneous sampled-data multiagent systems (MASs). To do this, a new nonlinear emulation strategy based on homogeneity is developed. It is then applied to MASs under synchronously variable sampling. Finally, a comparison with the classical linear strategy is provided in the case of MASs under synchronously periodic sampling.

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Patrick Coirault

Papers

Finite time boundedness of neutral high-order Hopfield neural networks with time delay in the leakage term and mixed time delays

Leader-following consensus for multi-agent systems with nonlinear dynamics subject to additive bounded disturbances and asynchronously sampled outputs

Diesel engine torque ripple reduction through LPV control in hybrid electric vehicle powertrain: Experimental results

H α control strategy of motor torque ripple in hybrid electric vehicles: an experimental study

Practical Consensus of Homogeneous Sampled-Data Multiagent Systems