..., 2001): Control systems Numerical simulation Control theory Non-linear control systems Backstepping Induction motor Asymptotic stability Electrical vehicle RISE control Lyapunov theory (1) d x d t = f ( x ) + B u + d ( t ) where: x...

... study are expressed. Simulation results are illustrated in the fourth section. In the last section, the conclusions are presented. Akbar Khalkhali can be contacted at: khalkhali1988@gmail.com © Emerald Group Publishing Limited 2015 Non-linear control systems Fault analysis...

... cannot be defined in a given value because the loop bandwidth strongly varies with the input jitter magnitude. © Emerald Group Publishing Limited 2013 Clock and data recovery (CDR) Bang-bang phase detector (BBPD) Jitter transfer and jitter tolerance SONET Circuits Non-linear control...

... Ψ_d=L_di_d+Ψ_PM and Ψ_q=L_qi_q are direct and quadrature magnetic fluxes, respectively, in the rotor coupled rotating frame. Non‐linear control systems Feedback Estimation Electric motors Oscillations All mechanisms that have...

... fibre with a non‐linear Kerr type core. A. Nicolet can be contacted at: andre.nicolet@fresnel.fr © Emerald Group Publishing Limited 2007 Non‐linear control systems Finite element analysis method Optical cables Approximation theory Non‐linear optical effects may be used...

... cases, as shown in the discussion, following an idea by Matagne. Originality/value The paper aids the understanding of nonlinear magnetostatic systems. © Emerald Group Publishing Limited 2007 Non‐linear control systems Magnetism Numerical analysis We study nonlinear...

... and the posterior calculation of certain parameters like void fraction in process tomography. Daniel Watzenig can be contacted at: daniel.watzenig@TUGraz.at © Emerald Group Publishing Limited 2007 Modelling Capacitance Non‐linear control systems Electrical properties Electrical...

... the performance of the MPPTs. The proper evaluations of proportional constants are required due to their dependency on PV array parameters and environmental conditions. © Emerald Group Publishing Limited 2007 Non‐linear control systems Hydrogen Power transistors The photovoltaic (PV...

... chaotic attractor circuit is shown in Figure 10 and the part names and values are given in Table II . Mustafa Türk can be contacted at: mturk@firat.edu.tr © Emerald Group Publishing Limited 2006 Non‐linear control systems Signal processing Simulation There are many different...

... parameters. © Emerald Group Publishing Limited 2006 Induction machine Non‐linear control systems Rotational motion Electrically operated devices Sliding‐mode (SM) theory is one of the prospective control methodologies for IM flux and speed control because of its order reduction...

... Magnetic measurement Non‐linear control systems Laminates For most of electrical drives, the motor voltages depend on the inverter, which is often based on the pulse width modulation principle. These voltages have a wide spectrum containing the low frequency working component driving the motor...

... of the following procedures: Finite element analysis Magnetic fields Magnetic devices Linear programming Electromagnetic fields Non‐linear control systems The application of a tubular linear permanent magnet generator (TLPMG) as the main element in an electric shock absorber with a controlled...

... the effectiveness point of view will be a matter of further works. Equation 1 Non‐linear control systems Harmonics Electric power systems In analysis of dynamic non‐linear systems, one‐port and multi‐port models described by means of state equations (Chua and Lin, 1975 ; Guckenheimer...

... is stable for all λ∈[−K_c,K_c], i.e. the corresponding eigenvalues have negative real parts. © Emerald Group Publishing Limited 2005 Non‐linear control systems Linear algebra Mathematical modelling Simulation Model reduction is a vital...

....: Equation 16 β is a positive small value. Replacing into results in the following recursive equation that is employed in stability analysis. Equation 17 Modelling Non‐linear control systems Optimal control Because of their performance and simplicity, model predictive controllers...