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Bienvenue à la collection du LAC-IdO![Accueil - UNICAEN](http://www.unicaen.fr/images/logo-unicaen.png)
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Les travaux de recherche de l'équipe IdO sont sur plusieurs thèmes :
Thème 1 : Identification des Systèmes et Traitement du Signal
Thème 1 : Identification des Systèmes et Traitement du Signal
DERNIERES PUBLICATIONS
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Moez Besbes, Salim Hadj, Faouzi M’sahli, Monther Farza. On FPGA Implementation of a Continuous-Discrete Time Observer for Sensorless Induction Machine using Simulink HDL Coder. International journal of advanced computer science and applications (IJACSA), 2017, 8 (6), pp.412-417. ⟨10.14569/IJACSA.2017.080655⟩. ⟨hal-01865511⟩
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Omar Hernandez, Maria Eusebia Guerrero-Sánchez, M Farza, T Menard, Mohamed M’saad, et al.. High gain observer for a class of nonlinear systems with coupled structure and sampled output measurements: application to a quadrotor. International Journal of Simulation : Systems, Science and Technology, 2019, 50 (5), pp.1089-1105. ⟨10.1080/00207721.2019.1589596⟩. ⟨hal-02407030⟩
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COLLABORATIONS
STATISTIQUE
MOTS CLES
Vectors
Real-time identification
Feedback
Temperature measurement
Mathematical model
Leader-following consensus
Bounded noise
FIR systems
Activity recognition
Directed graph
Quadrature amplitude modulation
Wideband
Additive noise
Shape
Convergence
Nonlinear system
Binary data
Support vector machines
Simulation
Discrete time systems
FIR filters
Frequency
Recursive estimation
Delayed output
Uncertain system
Noise
Circadian rhythm
Signal resolution
Time-varying systems
Adaptive observer
Linear systems
Switching systems control
Correlation methods
Lyapunov methods
Signal processing
Control nonlinearities
Channel estimation
Characteristic indices
Electronic mail
Control system synthesis
Continuous time systems
Ellipsoids
Data mining
Auto-Regressive model
Identification
Switches
Persistent excitation
Blind equalization
Continuous-discrete time observer
Cascade observer
High gain observer
Sampled outputs
Direction of arrival estimation
Fading channels
Spectral analysis
Blind equalizers
Signal processing algorithms
Extended high gain observer
Array signal processing
Signal to noise ratio
Circadian rhythms
Estimation
Acoustic signal processing
Blind equalisers
Binary output
Covariance matrix
Localization
Parameter estimation
Computational modeling
Nonlinear systems
Observability
Partitioning algorithms
Matrix algebra
Bioreactor
Covariance matrices
Delays
DoA
Cascade systems
Binary sensors
Noise measurement
Attitude estimation
Switched linear systems
Delay effects
Filtered high gain observers
Algorithm design and analysis
Upper bound
Adaptive sliding mode control
Nonlinear control systems
Accelerometers
Observers
Stability analysis
Autoregressive processes
Frequency estimation
Excitation persistante
Sensor arrays
Finite impulse response filters
Stability
Real-time systems
Distribution functions
Stochastic processes
Contact :
Référent HAL du LAC-IDO :
M. Frikel (eq. IDO)
M. Frikel (eq. IDO)
Tél. 02 31 45 27 09
miloud.frikel@ensicaen.fr