This presentation deals with the control of multiple-input-multiple-output linear multi time-delayed systems. The process can be disturbed and unstable. A new control structure is proposed, solving the problem in several steps. First, a stable predictor/observer for an internal non-delayed signal is designed. This predictor is always stable, regardless the possible instability of the plant. Then, the plant is stabilized, regardless the delays. The procedure involves canceling the interactions by means of disturbance observers. The approach is general and it can be applied to unstable plants.

 This paper presents a novel system stabilizer based on type-2 adaptive fuzzy sliding mode approach without reaching phase or chattering for a nonlinear power system. Low frequency oscillations of small magnitude linked with the electromechanical models in power systems, often persevere for long periods and may in some cases drastically hinders power transfer capability. These oscillations may occur locally or inter-power areas, due to in a large part to the difference in generators inertia constants of weakly linked power areas. Robustness of power availability can therefore be jeopardized. To help prevent these oscillations from limiting power flow, we present a new sliding mode based power system stabilizer with a sliding surface such that the system is always on the sliding surface and hence improve the system robustness. Furthermore, to account for rapidly changing operating conditions we use two adaptive Type-2 fuzzy systems to approximate the unknown power system nonlinear dynamics. To overcome the presence of chattering, we use a modified control signal. Stability is insured through Lyapunov synthesis. Severe operating conditions are used in a simulation study to test the validity and effectiveness of the proposed method which indicates good performance and satisfactory transient dynamic behaviour. A multi-machine power system is used to demonstrate the performance of the proposed controller and its superiority over conventional stabilizers used in the literature.

 This paper, deals with a second order sliding mode control of induction motor using a new analysis Lyapunov stability. This approach guarantees the robustness and dynamic performance than traditional first-order SMC algorithms, and simultaneously reducing the chattering phenomenon, which is the main drawback in the implementation of this technique. The rotor flux value is deduced from rotor flux observer using twisting algorithm. Simulation results are presented in order to validate the effectiveness of the proposed technique and to show the performance of second order sliding mode control for an induction motor drive system.

 In this paper, nonlinear control for wind farm based on the permanent magnet synchronous generators (PMSGs) is investigated in order to maximize the generated power from wind turbines. The 6 MW wind farm consists of 3 PMSGs based 2MW generators connected to a common DC-bus. Each PMSG of the system is connected to the DC-bus through a rectifier, but the DC-bus is connected to the grid through only one DC/AC inverter. The efficiency of the variable speed wind energy conversion systems (WECS) can be greatly improved using an appropriate control strategy. So, the control strategy combines the technique of maximum power point tracking (MPPT) method and sliding mode (SM) nonlinear control theory. Considering the variation of wind speed, both converters used the sliding mode control scheme. The PMSGs side converters are used to achieve MPPT, while the grid-side converter regulates DC-link voltage, injects the generated power into the AC network and its used to achieve unity power factor. Simulation results show the feasibility and robustness of the proposed control schemes for PMSGs based wind farm.

 The paper presents a variable speed controller for Permanent Magnet Synchronous Generator (PMSG) in Wind Energy Conversion System (WECS). A Direct Torque Control (DTC) algorithm-based controller is proposed for the PMSG. Generator torque reference is derived based on Maximum Power Point Tracking strategy (MPPT). The block diagram of the WECS with PMSG and the grid-side back-to-back converter is established with the dq frame of axes. A speed controller is designed to maximize the extracted energy from the wind, below the rated power area. A pitch control scheme for variable speed wind turbines is proposed in order to limit the output power produced by the turbine, while the DTC strategy is used to control the generator rotor speed. The objectives of grid-side converter are to deliver the energy from the PMSG side to the utility grid, to regulate the DC-link voltage and to achieve unity power factor and low distortion currents. So, Direct Power Control (DPC) of three phases PWM inverter is adopted and Grid-side reactive and active power decoupling method is applied. The employed control strategy can regulate both the reactive and active power independently. Finally, the effectiveness of the novel control strategy is verified by simulation using Matlab/ Simulink environment.Simulation results confirm that the proposed strategy has excellent performance.

 Higher order sliding mode controller (HOSMC) is a robust control scheme used to overcome the chattering phenomenon which appears, generally, with standard sliding mode controller (SMC). Such controller is presented, usually, under tow parts: A continuous part ensuring the reaching phase and a discontinuous part which allows establishing the sliding mode. This paper presents a comparative study between three well known techniques of HOSMC and presents a higher order fuzzy sliding mode control. The proposed controller keeps the continuous part and replaces the gain of the discontinuous part by a fuzzy controller. Numerical simulations are developed to show the effectiveness of the proposed approach.

 The main objective of this paper is the reconstruction of lateral dynamics and both roll angle and steering torque of single track vehicles (motorcycle, scooter, etc.). For that purpose, the well-known motorcycle model developed by Sharp in 1971 is used. This model characterizes the lateral dynamics of a motorcycle. The roll angle is not observable in the obtained structure, for overcoming this problem, the model is transformed in order to take into account the roll angle as an unknown input as well as the steering torque. A Proportional two integrals (P2I) observer is then proposed for estimating simultaneously all the variable states, the lateral forces and both roll angle and steering torque. This study is a part of the ongoing work of the research team on the design of preventive safety systems for motorcycles users. Simulation results and discussions are given in order to illustrate the effectiveness of the proposed observer.

 Both time and frequency domain new designs of reduced order observers for linear systems with constant time delay in state variable are addressed in this paper. The order of this observers permits to avoid redundancy between the measurements and the full order observer state. The time procedure design is based on Lyapunov Kravoskii stability theory where, after given the existence condition of such observers, the optimal gain implemented in the reduced order observer with internal delay design is obtained in terms of linear matrix inequalities (LMIs). The independent of internal delay and independent of delay cases are derived as particular cases. A design algorithm of reduced-order observer design is proposed. The frequency domain description is derived from the time domain one by applying the factorization approach. We propose some useful right coprime Matrix Fraction Descriptions (MFDs). A numerical example is given to illustrate the proposed approach.

 In this paper, a design of an adaptive observer for a class of uniformly observable MIMO nonlinear hybrid system is handled. It deals with a simultaneous estimation of the whole state as well as the unknown parameters while guaranteeing the recovering of the systems states and the reducing of the error estimation convergence during the transient period. The effectiveness of such observers is highlighted in the simulation results applied to the physical model of a quadruple tank process.

 This paper deals with parallel speed and stator resistance estimation for sensorless induction motors drives purpose. For that, a novel MRAS structure is proposed. It is based mainly on the use of a very robust sliding mode flux observer as reference model, which gives robustness to the whole parameters estimation operation. Unlike to classical MRAS structure, based on the use of pure integrators, which have initial value and drift problems. By using the proposed MRAS-Sliding mode observer, the system has a better performance and robustness. The effectiveness of this proposed estimation structure is verified by experiment under critical disturbance conditions.

 This paper deals with a discrete time repetitive control synthesis for possible non-minimum phase plants. The main design features of the repetitive controllers are discussed. More precisely one shows that one can realize two objectives: perfect and non-perfect tracking. Some illustrative examples are given to highlight the main features of the proposed approaches.

 This paper proposes a novel approach based on integrating the instantaneous harmonic control (IHC) with the cubic nonlinear damping to resolve the problem with the IHC robustness which relies on accurate knowledge of disturbance frequency. To assess the performance of this novel approach, numerical simulation studies are conducted on a single degree of freedom (sdof) vibration isolation system. The results clearly demonstrate the effectiveness of this novel approach in improving the IHC robustness. This study is of great significance as it provides a basis for the design and practical application of the cubic nonlinear damping integrated with the IHC to address vibration control problems in a wide range of engineering systems.

 We investigate a switched system given by a set of linear systems. We offer the tools of qualitative system analysis using multiple Lyapunov function method and obtain the estimations of system solution at the final time moment depending of initial state. The estimation are obtained by composition of perturbations of the separate subsystems on each time intervals of switched system.

 This paper considers a method to design the fractional-order observers design for continuous-time linear fractional-order systems with unknown inputs. The conditions for the existence of these observers are given. Sufficient conditions for the asymptotical stability of the observers with the fractional order alpha between zero and two are derived in terms of linear matrix inequalities formulation. Two numerical examples are given to demonstrate the applicability of the proposed approach where the fractional order alpha between zero and one, and also one and two respectively.

 This paper considers the problem of observers design for large scale interconnected singular systems. A novel decentralized observer is proposed based on a new parameterization of the generalized Sylvester equations solution. The considered system is partitioned into small-sizes interconnected subsystems with unknown interconnections. The proposed approach unifies the large scale system observers design for the full-order, the reduced-order and the minimal order observers. Conditions for the existence and these stability of this observers are provided in terms of linear matrix inequalities (LMIs).

 This paper deals with the problem of constraints on both control and its rate, for linear continuous-time delayed systems. For this, some known results dealing with delayed continuous-time systems with imposed constraints on their control vector and its rate are recalled. A pole assignment technique is then used to find a feedback gain matrix which guaranties the respect of the constraints without saturating neither the control vector, nor its rate. An illustrative example shows the application of the proposed method.

 This paper is devoted to the stabilization of time-delay systems containing saturating actuators. Improved delay-dependent stabilizability conditions are derived. These conditions are given under LMI formalism. Hence, stabilizing memoryless state feedbacks are easily deduced. An illustrative example is given to present the application of this method to overcome some conservativness that aroses in previous works.

 Repetitive processes are a distinct class of 2D systems (i.e. information propagation in two independent directions) of both systems theoretic and applications interest. they cannot be controlled by direct extension of existing techniques from either standard (termed 1D here) or 2D systems theory. this paper deals with the stability of differential linear repetitive processes with delays in both directions of information propagation. Stability criteria are developed: is delay-dependent with tow approaches based on Lyapunov-Krasovskii functions and the resulting conditions are expressed in terms of linear matrix inequalities.

 This paper presents less conservative criteria for exponential stability of linear systems with a time-varying delay. Restrictions on the derivative of the time-varying delay is not required that allows to have a fast time-varying delay function. We propose a new Lyapunov-Krasovskii function and we present the result in the form of LMIs. By a known example, we show that our criteria give less conservative results than the previous ones.

 This paper deals with the modeling and identification of heat transfer process. This diffusive phenomena exhibit complex dynamics varying with the operating frequency band. Two models are investigated: a fractional order state space model and a neural fuzzy networks. Numerical simulations on a thermal benchmark are performed in order to analyze the two models fitting ability to approximate the diffusive phenomena.

 A model for a Magneto-Rheological (MR) damper based on Artifical Neural Networks (ANN) is proposed. The ANN-based model does not require regressors in the input vector. Additional to the electric current input, only one more sensor is needed to achieve a reliable MR damper model. The model is experimentally validated with two commercial MR dampers of very different properties. The Root Mean Square (RMS) of the error is used to measure the model accuracy. A RMS average of 7.1 % in the damping force is obtained. Using the same experimental database, the ANN-based model is also compared with well-known MR damper models taking the Error to Signal Ratio (ESR) performance index as reference. Early results indicate ANN-based model outperforms previous MR models. ESR ranges from 1.8 to 10.8 %; however, for several experimental datasets the ANN-based model exhibits the lowest ESR.

 In this paper we address the issue of different mathematical models for the Profitable Vehicle Routing Problem with Multiple Trips (PVRPMT). Surprisingly, this problem has received little attention in the literature in spite of its importance in practice. The PVRPMT arises when each vehicle performs several routes during the workday under a strict time limit on route duration and only a subset of customers can be served due to the limited size fleet of vehicles. The customers choice is based on their profitability (profit minus travelling cost). Two strategies of sub tours elimination constraints will be presented and for each strategy two different cases are distinguished

 This paper presents a simple hybrid simulation model of PV cell/module using Matlab/Simulink /Simscape/SimElectronics/ Pspice library for Triple layers Amorphous Photovoltaic Panels. The simulation model uses the basic circuit model of PV solar cell by manipulating Spice diode parameters and effect of changing series and parallel resistances in each cell of panel based on commercial datasheet catalog information. By using proposed model the effect of solar insolation and temperature variation captured by National instrument data Actuation card and V-I characteristic of PV modules can be obtained from real time simulation. Also, partial shading conditions effect perfectly simulated in this method by changing solar insolation and temperature of each cell. This model applied for triple layers Amorphous PV panel (Uni-solar ES-62T) that installed in MIS laboratory energy renewable platform (University of Picardie Jules Verne).

 This work deals with operating mode management applied to discrete event systems (DES). Our approach is multi-model based on the information on system states; each model describes a system in a given operating mode. In order to ensure the alternation between these operating modes; we assume that only one attempted operating mode is activated at a time, whilst other modes must be inactivated. The commutation problem may be defined as finding compatible states, when controlled physical system behavior switches from one operating mode to another. For this purpose, we propose an optimal algorithm to find compatibles states when a switching occurred.

 The purpose of this paper is to present a method to detect an induction motor rotor fault, by exploiting the cyclostationary characteristics of electrical signals. In fact, the induction motor defects are the most complex in terms of detection since they interact with the 50 Hz carrier frequency within a restricted band around 50 Hz. The first part of this study is devoted to the implementation of an induction motor model on Matlab. The rotor fault is simulated by adding 10% to the rotor resistance value on one of the rotor phases. The Time Synchronous Averaging (TSA) method applied to the stator current will allow conditioning the electrical signal in order to detect the motor defects. The second part of this study is dedicated to confirm the simulation results with an experiment. For this purpose, various tests are performed on a test bench, including an industrial three-phase wound rotor asynchronous motor of 400V, 6.2A, 50Hz, 3kW, 1385rpm. The rotor fault is carried out by adding an extra 40mW WW W resistance on one of the rotor phases (i.e. 10% of the rotor resistance value per phase, Rr=0.4W WW W). From the stator voltage and current acquisition, and by application of the TSA method to the stator current, the electrical signal is conditioned in order to obtain a sensitive indicator allowing to detect the motor defects and hence, the simulation results are confirmed.

 This paper presents a new hierarchical control strategy for a hyper redundant articulated nimble adaptable trunk (ANAT). This control strategy is used to track a workspace trajectory using a feedback linearization approach. The hierarchical control strategy consists in controlling the last joint by assuming that the remaining joints follow their desired trajectories. The same strategy is applied backward to control the (n-1)-th joint, and so on until the first joint. The pseudo-inverse of the Jacobian is used to solve the inverse kinematics problem and the local stability of each step is proved. This algorithm is experimented on a seven DOF ANAT robot and gives effective results and good tracking of a desired workspace trajectory in rectangular form.

 This paper aims to highlight existing relationships between faults and symptoms on marine Diesel engines. These causal relationships are usually described by maintenance experts and characterized by uncertainties and fuzziness. In order to cope with these drawbacks an analytical model is built, putting in evidence physical parameters subjected to faults. This procedure is applied to the injection system that is equipped with an in-line injection pump and standard sensors. After defining the most frequent and hazardous faults on the system, sensitive parameters to these faults are identified. Then, variations are introduced on each parameter to simulate the faults and sensor outputs are monitored. The observed changes caused by each fault are used to build causal relationships. A validation of these relationships is made by introducing real faults on the six-cylinder marine Diesel under study. The results show good concordances between simulation and real results.