The research work presents a original solution for increasing the efficiency on management Supplied-Customer Services (SCS), based on a causal graph configuration. This approach expresses the connection, interaction, ...
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Alternative parameterisations have been shown to improve the feasible region for a predictive control law when the number of degrees of freedom is limited. One question yet to be resolved is: which alternative paramet...
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In this paper a practical new approach to the topic of guarantee closed loop stability of constrained predictive controllers is proposed. The problem is addressed for the case when, due to disturbances, inadequate con...
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Camera calibration process is very sensitive to noise. Errors' coming from noisy measurements of the points coordinates, their situation in the world and the calibration algorithm itself creates a deviated solutio...
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ISBN:
(纸本)188933524X
Camera calibration process is very sensitive to noise. Errors' coming from noisy measurements of the points coordinates, their situation in the world and the calibration algorithm itself creates a deviated solution from the real one. Therefore, it is more interesting to obtain the standard deviation and the mean value of a parameter, than only a value. This value is always false because of the input data is corrupted with noise. This standard deviation represents the quality of the computed parameter. In this paper a method to compute this standard deviation of the projection matrix elements is presented. In this case, the projection matrix is computed with the non homogeneous solution based on the least squares technique.
This paper addresses a novel combination between mixed-integer representations and potential field constructions for typical multi-agent marine control problems. First, we prove that for any kind of repulsive function...
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Instead of seeking a structure mapping from a fuzzy reasoning system to a neural network, this paper is intended to find a functional mapping from a fuzzy logic-based algorithm to the network-based approach. By viewin...
Instead of seeking a structure mapping from a fuzzy reasoning system to a neural network, this paper is intended to find a functional mapping from a fuzzy logic-based algorithm to the network-based approach. By viewing the given rule-base as defining a global linguistic association constrained by fuzzy sets, approximate reasoning is implemented here by a Backpropagation Neural Network (BNN) with the aid of fuzzy set theory. By paying particular attention to the generalization capability of the BNN, the underlying principles have been examined in detail using two examples: a small demonstration at the linguistic level, and a more realistic problem of multivariable fuzzy control of blood pressure. The simulation results not only indicate the feasibility of the BNN-based approach, but also reveal some deeper similarities which exist in the two methods, which may have some important implications for future studies into fuzzy control. In addition, this work may be considered as another application example of the BNN in the case of continuous outputs and on a relatively larger scale (in the second example the BNN has 26 inputs and 13 outputs, with a total of 2013 weights and thresholds).
This paper demonstrates the efficacy of alternative parameterisations of the degrees of freedom within a robust MPC algorithm. Alternative parameterisations have been shown to improve the feasible region when the numb...
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One challenging and not extensively studied issue in obstacle avoidance is the corner cutting problem. Avoidance constraints are usually imposed at the sampling time without regards to the intra-sample behavior of the...
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This work shows an extension of dual-modifier adaptation methodology for RTO to reduce the infeasibilities. The main idea is to add a PI controller that is activated only when the measurements shows a violation in the...
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This paper deals with the synthesis of fuzzy controller applied to the induction motor with a guaranteed model reference tracking performance. First, the Takagi-Sugeno （T-S） fuzzy model is used to approximate the no...
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This paper deals with the synthesis of fuzzy controller applied to the induction motor with a guaranteed model reference tracking performance. First, the Takagi-Sugeno （T-S） fuzzy model is used to approximate the nonlinear system in the synchronous d-q frame rotating with field-oriented control strategy. Then, a fuzzy state feedback controller is designed to reduce the tracking error by minimizing the disturbance level. The proposed controller is based on a T-S reference model in which the desired trajectory has been specified. The inaccessible rotor flux is estimated by a T-S fuzzy observer. The developed approach for the controller design is based on the synthesis of an augmented fuzzy model which regroups the model of induction machine, fuzzy observer, and reference model. The gains of the observer and controller are obtained by solving a set of linear matrix inequalities （LMIs）. Finally, simulation and experimental results are given to show the performance of the observer-based tracking controller.
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