Biotechnological processes are notoriously difficult to control using conventional methods owing to their time-variant and non-linear characteristics. An alternative control method is to utilise artificial intelligenc...
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Biotechnological processes are notoriously difficult to control using conventional methods owing to their time-variant and non-linear characteristics. An alternative control method is to utilise artificial intelligence such as fuzzy logic. A problem with the development of fuzzy logic controllers is rule-base generation. A Self-Learning Fuzzy Logic control (SLFLC) methodology offers a possible alternative solution. A study is presented illustrating the performance of a SLFLC by demonstrating its ability to generate a rule-set based on a predetermined criteria. The SLFLC described has been successfully applied to simulations of a Bakers Yeast fed-batch fermentation. Results demonstrate how the learning mechanism produces a rule-set which controls the dissolved oxygen concentration throughout the fermentation process duration.
We numerically study the time evolution of coherent vortices in decaying turbulence described by the Charney-Hasegawa-Mima equation with the weak dissipation. Self-organized coherent vortices develop through the mutua...
We numerically study the time evolution of coherent vortices in decaying turbulence described by the Charney-Hasegawa-Mima equation with the weak dissipation. Self-organized coherent vortices develop through the mutual advection and the vortex merging. The dimensional analysis provides the dynamical scaling law of structure function of the potential vorticity field S(k,t)=E5/4λ1/2t1/2G(k/k¯(t)) [k¯(t)∼E−1/8λ3/4t−1/4] with a scaling function G(x), which turns out to be in good agreement with numerical experiments. In physical space, quantities related to coherent vortices develop algebraically with time. The dimensional analysis predicts that the total number N of vortices decreases as N∼t−χ with exponent χ=1/2. Moreover, it is found that the remarkable feature of this system is the approximate conservation of the area of the coherent region in the potential vorticity field.
In this paper we address the problem of designing simple global tracking controllers for a kinematic model of a mobile robot and a simple dynamic model of a mobile robot. For this we use a cascaded systems approach, r...
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In this paper we address the problem of designing simple global tracking controllers for a kinematic model of a mobile robot and a simple dynamic model of a mobile robot. For this we use a cascaded systems approach, resulting into linear controllers that yield global K-exponential stability of the closed loop system.
The Charney-Hasegawa-Mima equation, with random forcing at the narrow band wave-number region, which is set to be slightly larger than the characteristic wave number λ, evaluating the inverse ion Larmor radius in pla...
The Charney-Hasegawa-Mima equation, with random forcing at the narrow band wave-number region, which is set to be slightly larger than the characteristic wave number λ, evaluating the inverse ion Larmor radius in plasma, is numerically studied. It is shown that the Fourier spectrum of the potential vorticity fluctuation in the development of turbulence with an initial condition of quiescent state obeys a dynamic scaling law for k≪λ. The dimensional analysis with the assumption that the energy transfer rate ε in the inverse cascade is constant with time leads to the scaling form S(k,t) =λ1/2ε5/4t7/4F(k/k-bar(t))[k-bar(t)∼λ3/4ε−1/8t−3/8] with a scaling function F(x), which turns out to be in good agreement with numerical experiments.
This paper presents a model-based approach to fault detection of dynamic systems, which is robust to unmodeled dynamics. A “Quasi-ARMAX model᾿ is first proposed for describing nonlinear systems by incorporating a gro...
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This paper presents a model-based approach to fault detection of dynamic systems, which is robust to unmodeled dynamics. A “Quasi-ARMAX model᾿ is first proposed for describing nonlinear systems by incorporating a group of certain nonlinear structures into a linear ARMAX structure. The model can be used for a best linear approximation of the system, as well as for the estimation of resulting unmodeled dynamics, by a hierarchical implementation of recursive identification. Then robust fault detection is performed based on thresholding approach using Kullback discrimination information as fault detection index, in which the estimated unmodeled dynamics is incorporated.
This paper deals with manipulation of a floating object by two space robots with manipulators. It is shown in this paper that a total system consisting of two robots and a floating object could be treated as a distrib...
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This paper deals with manipulation of a floating object by two space robots with manipulators. It is shown in this paper that a total system consisting of two robots and a floating object could be treated as a distributed system, and then a new generalized Jacobian matrix (GJM) is defined. Moreover, it is confirmed that this type of GJM is effective for using adaptive control for decreasing the amount of calculation for the control algorithm.
This research is concerned with fault detection of nonlinear systems using Kullback discrimination information (KDI) as an index. A hybrid quasi-ARMAX model is proposed, which combines a linear ARMAX model and a multi...
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This research is concerned with fault detection of nonlinear systems using Kullback discrimination information (KDI) as an index. A hybrid quasi-ARMAX model is proposed, which combines a linear ARMAX model and a multi-ARX-model based on interpolation. In the case where the faults occur on the ARMAX model part, a KDI-based "robust" fault detection is performed, in which multi-ARX-model part is treated as error due to nonlinear undermodeling. In other cases, the model is transformed into several local ARMAX models and fault detection is performed by using the KDI to discriminate each identified local model. In this paper, we mainly concentrate our discussion on the latter cases.
In this paper we consider the fault isolation problem for the linear time varying systems. Our approach is based on characterization of the observability of LTV systems by Kalman's rank condition, which permits us...
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ISBN:
(纸本)9783952426906
In this paper we consider the fault isolation problem for the linear time varying systems. Our approach is based on characterization of the observability of LTV systems by Kalman's rank condition, which permits us to design fault detection filters, feeding also the derivatives of the inputs and the outputs. We prove, using a computable method, that the isolation problem can be solved by generalized Luenberger's observer if and only if the detectability and the weak separability of fault signatures holds.
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