Concept
Système invariant
Publications associées (111)
Robust Smith Predictor Design for Time-Delay Systems with H infinity Performance
Alireza Karimi, Vinicius De Oliveira
A new method for robust fixed-order H-infinity controller design for uncertain time-delay systems is presented. It is shown that the H-infinity robust performance condition can be represented by a set of convex constraints with respect to the parameters of ...
2013Adaptive Models for Gene Networks
Biological systems are often treated as time-invariant by computational models that use fixed parameter values. In this study, we demonstrate that the behavior of the p53-MDM2 gene network in individual cells can be tracked using adaptive filtering algorit ...
Public Library of Science2012Learning Coupled Dynamical Systems from Human Demonstration for Robotic Eye-Arm-Hand Coordination
Aude Billard, Luka Lukic, José Santos-Victor
Efficient, adaptive and reliable visuomotor control system is crucial to enable robots to display flexibility in the face of changes in the environment. This paper takes inspiration in human eye-arm-hand coordination pattern to develop an equivalently robu ...
2012Shift-Invariant and Sampling Spaces Associated With the Fractional Fourier Transform Domain
Shift-invariant spaces play an important role in sampling theory, multiresolution analysis, and many other areas of signal and image processing. A special class of the shift-invariant spaces is the class of sampling spaces in which functions are determined ...
2012RST Controller Design by Convex Optimization Using Frequency-Domain Data
Alireza Karimi, Roland Longchamp, Gorka Galdos Sanz de Galdeano
A new robust fixed-order RST controller design approach by convex optimization is proposed in this paper. Only frequency-domain data are considered in the approach for linear time-invariant single-input single-output systems. It is shown that performance s ...
2011Learning Stable Non-Linear Dynamical Systems with Gaussian Mixture Models
Aude Billard, Seyed Mohammad Khansari Zadeh
This paper presents a method for learning discrete robot motions from a set of demonstrations. We model a motion as a nonlinear autonomous (i.e. time-invariant) Dynamical System (DS), and define sufficient conditions to ensure global asymptotic stability a ...
2011A stochastic reach-avoid problem with random obstacles
Maryam Kamgarpour, John Lygeros
We present a dynamic programming based solution to a stochastic reachability problem for a controlled discrete-time stochastic hybrid system. A sum-multiplicative cost function is introduced along with a corresponding dynamic recursion which quantifies the ...
ACM Press2011Optimal filtering of incremental first-order sigma-delta modulators with sweep input
Maher Kayal, Sylvain Maréchal, François Krummenacher
In this paper, an optimal filter design procedure is described, from the equation representing the behaviour of a ΣΔ modulator to a functional algorithm. The first section shows the design of an optimal filter for a first-order ΣΔ ADC with a constant input ...
2011MPC of constrained discrete-time linear periodic systems — A framework for asynchronous control: Strong feasibility, stability and optimality via periodic invariance
State-feedback model predictive control (MPC) of discrete-time linear periodic systems with time-dependent state and input dimensions is considered. The states and inputs are subject to periodically time-dependent, hard, convex, polyhedral constraints. Fir ...
Elsevier2011