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Modern control theory has been applied successfully in a wide variety of engineering disciplines for decades. In sharp contrast to this situation, however, there are fields like ecology where control methodologies have not been so successful in practice. This largely due to the poor quality of models that are available and the limited amount of reliable data that can be gathered. An emerging set of...
This paper considers the problem of block-oriented Wiener systems control. Designing controllers for Wiener systems face many challenges, for instance, parameter uncertainty and lack of state measurement. To address these issues, the input-output response of a class of Wiener systems is represented with a simple fractional-order model, then a closed-loop model reference fractional adaptive controller...
Motivated by applications in adaptive control, this article compares two recursive estimation algorithms for sparse estimation of linear dynamical (ARX) models. In most practical situations an accurate mathematical model estimation of a real system using the least number of parameters is highly desirable. The expectation of sparsity is imposed through minimization of an objective function that includes...
The cerebellum is a crucial brain structure in enabling precise motor control in animals. Recent advances suggest that the timing of the plasticity rule of Purkinje cells, the main cells of the cerebellum, is matched to behavioral function. Simultaneously, counter-factual predictive control (CFPC), a cerebellar-based control scheme, has shown that the optimal rule for learning feed-forward action...
For the ecological niche, a hybrid adaptive fuzzy control method with the function of continuous supervisory control is proposed in this paper. The Equality index of Niche contains parameters as the consequent of adaptive T-S fuzzy control system, with the design of the hybrid control law by tracking, continuous supervisory and adaptive compensation. The adaptive law of consequent parameters is achieved,...
This paper presents an innovative dry friction model describing the Coulomb and Striebeck effects on a mechanical system. This model has the particularity of relying not only on the mechanical system velocity but also on its driving force. A compensation control structure providing feedback linearization is derived from the said model, with an additional adaptive control scheme guaranteeing efficient...
Dissolved Oxygen (DO) concentration is a crucial parameter for efficient operation of biological processes taking place in the activated sludge Wastewater Treatment Plant (WWTP). High-quality DO control is difficult to achieve because of complex nonlinear behavior of the plant and substantial influent disturbances. A method to improve the Direct Model Reference Adaptive Control (DMRAC) technology...
In this paper a nonlinear algorithm for adaptive control of a fed-batch bioreactor for high density cultures is proposed. The control of these processes is difficult due to parameter variations and process disturbances. The control scheme is based on a reduced model used to estimate the uncertainties with adaptive techniques. Convergence of estimated biomass to a desired neighborhood was proved based...
In the context of discrete-time adaptive control of plants subject to parameter variations, direct adaptive control (despite various attempts: model reference control, minimum variance self-tuning) cannot effectively be used in practice because the discrete-time plant models feature generically unstable zeros. There is however another extremely important area for application of adaptive control: rejection...
The design of a continuous-flow control strategy in lactic acid production by Lactobacillus casei is reported here. The main idea is to take advantage of recently modelled nutritional limitation effect in order to reduce production costs and improve productivity. The control objective was to maintain the production rate at a constant high value, or equivalently to regulate the glucose concentration...
The reception of vibrations is a special sense of touch, important for many insects and vertebrata. The latter realize this reception by means of hair-shaped vibrissae. Disregarding different types of such sensors we set up a principal mechanical model to describe their modes of operation (passive and active vibrissae). Biologically, the oscillating excitations are transmitted to receptor cells which...
This note focuses on robust adaptive controller design for Hammerstein systems with symmetric dead-zone nonlinearity and bounded noise. A modified control law is proposed to compensate dead-zone nonlinearity and a new recursive estimator with a nonnegative data weighting is presented to deal with bounded noise. From convergence properties and global stability analysis, we show that parameter estimation...
Due to their underlying complexity, biomedical systems are typically described by dynamic models with a significant level of uncertainty. Hence, classical control methods cannot be readily applied, as they do not render satisfactory results in terms of performance and even stability. Therefore, this paper proposes a multiple-model adaptive approach to the neuromuscular blockade control problem, based...
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