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This paper deals with the design of a Proportional Multiple Integral (PMI) observer for Takagi-Sugeno systems with immeasurable premise variables subjected to unknown inputs. The introduction of an output error injection in the premise variable of the PMI observer allows to significantly reduce the conservatism of LMI-based stability conditions. A simulation example of a chaotic system is given to...
This paper addresses the problem of acoustic noise reduction and speech enhancement in new telecommunication systems by adaptive filtering algorithms. We propose a new two-channel forward BSS algorithm based on signal prediction to give an automatic algorithm with a very nice behavior at the output. This algorithm is called the two-channel fast normalized least mean square (TCFNLMS) algorithm. This...
In several previous works, the two-channel adaptive filtering algorithms have been proposed and combined with forward-and-backward blind source separation structures for acoustic noise reduction and speech enhancement. Recently in [1], we have proposed a new two-channel subband forward algorithm (2CSF) for acoustic noise reduction. The main drawback of this algorithm is its poor performance in steady...
In this work, super twisting controller is tested for paraplegic knee stimulation. In contrary to the literature controllers proposed for the paraplegic patient, our command assures a uniform global convergence using the Lyapunov function. We studied, firstly, the performances of the controller by comparing them with those of literature. Then, we proposed an adaptive super twisting controller assuring...
In this paper, the problem of echo cancellation in long acoustic impulse responses (AIRs) is highlighted. Three of the mostly-used recent NLMS-based sparse adaptive filtering algorithms are presented; and their performances in the context of acoustic echo cancellation (AEC) are studied and compared. The algorithms of interest include the improved proportionate normalized least mean square (IPNLMS),...
This paper addresses the problem of speech quality enhancement and acoustic noise reduction by adaptive filtering algorithms. In this paper, we propose a new version of the set-membership partial-update normalized least mean square (SM-PU-NLMS) algorithm. The proposed algorithm is based on the use of the cross-correlation of the output error signal and the noisy to control the variable-step-size in...
In this paper robust nonlinear observer and controller are designed for sensorless control of interior permanent magnet synchronous motor (IPMSM). The proposed method is based on the high order sliding mode technique. The super twisting algorithm is combined with an interconnected observer which allows using it in multi-input multi output case. The proposed controller computed using the MTPA strategy...
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