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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
Uncertain system
Feedback
Excitation persistante
Binary output
Distribution functions
Linear systems
DoA
Channel estimation
Nonlinear systems
Ellipsoids
Frequency estimation
Blind equalisers
Signal to noise ratio
Extended high gain observer
Directed graph
Shape
Blind equalization
Delay effects
Electronic mail
Adaptive sliding mode control
Support vector machines
High gain observer
Bioreactor
Circadian rhythm
Lyapunov methods
Fading channels
Adaptive observer
Signal processing algorithms
Direction of arrival estimation
Delays
Persistent excitation
Activity recognition
Quadrature amplitude modulation
Noise measurement
Cascade systems
Spectral analysis
Binary data
Temperature measurement
Stochastic processes
Blind equalizers
Additive noise
Matrix algebra
Delayed output
Signal processing
Signal resolution
Filtered high gain observers
Real-time systems
Circadian rhythms
Covariance matrix
Convergence
Algorithm design and analysis
Bounded noise
Vectors
Binary sensors
Auto-Regressive model
Sampled outputs
Switching systems control
Stability analysis
Recursive estimation
Control nonlinearities
Covariance matrices
Switched linear systems
Identification
Localization
Time-varying systems
Acoustic signal processing
Data mining
Continuous-discrete time observer
Characteristic indices
Nonlinear control systems
Array signal processing
Estimation
Real-time identification
Switches
Continuous time systems
Nonlinear system
Discrete time systems
Accelerometers
Upper bound
Finite impulse response filters
Autoregressive processes
Frequency
Mathematical model
Computational modeling
Leader-following consensus
Observability
Correlation methods
FIR filters
Attitude estimation
Observers
Simulation
Cascade observer
Control system synthesis
Parameter estimation
Sensor arrays
Stability
Wideband
FIR systems
Noise
Partitioning algorithms
Contact :
Référent HAL du LAC-IDO :
M. Frikel (eq. IDO)
M. Frikel (eq. IDO)
Tél. 02 31 45 27 09
miloud.frikel@ensicaen.fr