Dorin Sendrescu

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The paper presents the design and analysis of some nonlinear and neural adaptive control strategies for a class of time-varying and nonlinear processes. In fact, a direct adaptive controller based on a radial basis function neural network used as online approximator to learn the time-varying characteristics of process parameters is developed and then is(More)
This paper presents an approach on the bond graph modelling applied to a Quanser rotary inverted pendulum experiment followed by the computation of the mathematical model. The system was decomposed into subsystems that were modelled separately. The obtained subsystems generated submodels and the overall model was then built up by combining these separate(More)
Monoclonal antibodies (mAbs) are at present one of the fastest growing products of pharmaceutical industry, with widespread applications in biochemistry, biology, and medicine. The operation of mAbs production processes is predominantly based on empirical knowledge, the improvements being achieved by using trial-and-error experiments and precedent(More)
This paper deals with the problem of on-line estimation of kinetic rates inside biological Sequencing Batch Reactors (SBRs). Two wastewater treatment bioprocesses that are carried out inside SBRs are taken into consideration. These biotechnological processes are highly nonlinear and, furthermore, the available on-line measurements are lack and the reaction(More)
The paper studies the design and analysis of a neural adaptive control strategy for a class of square nonlinear bioprocesses with incompletely known and time-varying dynamics. In fact, an adaptive controller based on a dynamical neural network used as a model of the unknown plant is developed. The neural controller design is achieved by using an(More)
This paper addresses the problem of Bond Graph modelling of nonlinear bioprocesses. The rules for the design of pseudo Bond Graph models of some prototype bioprocesses — one batch and one continuous process — are obtained using the reaction schemes and the analysis of biochemical phenomena. These rules are applied in order to design the Bond(More)
This paper presents the design and the analysis of some nonlinear adaptive control strategies for a class of anaerobic depollution processes that are carried out in continuous stirred tank bioreactors. The controller design is based on the input-output linearization technique. The adaptive control structure is based on the nonlinear model of the process and(More)
This paper deals with the problem of modelling and on-line estimation of kinetics for a biomethanation process. This bioprocess is in fact a wastewater biodegradation process with production of methane gas, which takes place inside a Continuous Stirred Tank Bioreactor. The reaction scheme and the analysis of biochemical phenomena inside the bioreactor are(More)
Návrh robustného decentralizovaného riadenia pomocou LMI In this paper, the robust optimal model matching control design method is applied to a flexible beam Quanser experiment. The neglected nonlinearities of the real experiment in the controller design step lead to important differences between the simulation and experimental results, including vibrations(More)