Background: Surveillance of health care-associated infections is an essential component of infection prevention programs, but conventional systems are labor intensive and performance dependent. Objective: To develop a...
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In physiological control there is a need to estimate signals that cannot be measured directly. Burdened by measurement noise and unknown disturbances this proves to be challenging, since the models are usually highly ...
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ISBN:
(纸本)9781479938414
In physiological control there is a need to estimate signals that cannot be measured directly. Burdened by measurement noise and unknown disturbances this proves to be challenging, since the models are usually highly nonlinear. Sigma-point filters could represent an adequate choice to overcome this problem. The paper investigates the applicability of several different versions of sigma-point filters for the Artificial Pancreas problem on the widely used Cambridge (Hovorka)-model.
We cope with the task of output feedback stabilization of a parametrically uncertain linear plants of arbitrary relative degree under the matching harmonic disturbances of unknown frequency ω. Advancing the previousl...
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We cope with the task of output feedback stabilization of a parametrically uncertain linear plants of arbitrary relative degree under the matching harmonic disturbances of unknown frequency ω. Advancing the previously obtained results for the hybrid “consecutive compensator” controller, we present two different event-based switching algorithms incorporating only current measurements of the system output. These algorithms are needed for iterative substitution of the disturbance frequency estimations ω(t) to the feedback. It was shown that the proposed controller guarantees system invariance with respect to the external disturbance for ω(t) = ω. Simulation results bring out provided advantages of the proposed approach.
Pneumatic artificial muscles - based robotic systems usually necessitate the use various nonlinear control techniques in order to improve their performance. Moreover, their robustness to parameter variation, which is ...
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Pneumatic artificial muscles - based robotic systems usually necessitate the use various nonlinear control techniques in order to improve their performance. Moreover, their robustness to parameter variation, which is generally hardly predictable, should also be tested. Here a fast hybrid adaptive control is proposed, where a conventional PD controller is placed into the feedforward branch and a fuzzy controller is placed into the adaptation branch. The fuzzy controller compensates for the actions of PD controller under conditions of inertia moment variation. The design of fuzzy controller is based on the results of optimization using simulated annealing algorithm. The results confirm fast action of the control scheme as well as its robustness to changes in inertia moment variation.
This paper presents an evolutionary approach to multi-objective path planning. The paths are defined on continuous scenes with disjoint and/or non-convex obstacles, for robots moving towards their destinations along l...
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This paper presents an evolutionary approach to multi-objective path planning. The paths are defined on continuous scenes with disjoint and/or non-convex obstacles, for robots moving towards their destinations along linearly piecewise trajectories with any number of vertices. The fastest feasible route is genetically selected via a simultaneous minimization of path length and path steering angle. In order to assure an effective partial sorting of the potential solutions, the genetic algorithm makes use of a self-adaptive Pareto ranking scheme, based on individuals' grouping and dominance analysis. Before ranking, all the unfeasible solutions are corrected, by replacing the sub-paths which intersect the obstacles. The feasible segments are chosen from graphs generated with Delaunay triangulation, by applying a new multi-objective ranking-based fastest path procedure derived from the classical Dijsktra's algorithm. This new procedure is compatible with any nonlinear objective functions and allows using the same ranking scheme during the evolutionary search and correction of paths, thus making possible to guarantee the feasibility of the paths without any significant intrusion in the evolutionary exploration. The proposed algorithm can also be used for solving any graph - based path planning problem, involving any number of objectives. The experiments show the usefulness of the suggested techniques on working scenes with different layouts of obstacles.
The paper deals with a method for real-time frequency analysis of the electromyogram. The method has been proposed for usage in control systems of advanced robotics for different applications. The method includes robu...
The paper deals with a method for real-time frequency analysis of the electromyogram. The method has been proposed for usage in control systems of advanced robotics for different applications. The method includes robust real-time frequency estimation with preliminary usage of bandwidth filters. The method is easy to program and requires no additional resources. The paper presents an example of experimental approbation of proposed method.
Identifying a linear parameter-varying (LPV) model of a nonlinear system from local experimental data is still a problem which deserves attention. Many difficulties related to the determination of the local models wit...
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Identifying a linear parameter-varying (LPV) model of a nonlinear system from local experimental data is still a problem which deserves attention. Many difficulties related to the determination of the local models with respect to coherent bases have been recently pointed out and must be solved in order to ensure a good behavior of the interpolated LPV model. Rather than building a model either from the law of physics or from experimental data independently, the combination of an analytic and an experimental approach is used in this paper to identify an LPV model of a flexible robotic manipulator. This technique focuses on the interpolation step by combining local re-structured linear time-invariant (LTI) state-space models satisfying a state-space parameterization deduced from the non-linear equations governing the dynamic behavior of the system. A dedicated H∞-norm technique is introduced to solve the underlying re-structuring problem. This contribution shows that prior information can be really helpful when the problem of coherent basis selection arises. As a sample, the case of the identification of a 2-DoF non-linear flexible manipulator is addressed.
In this paper we consider the problem of output control of nonlinear systems in the presence of structural disturbances caused by so called unmodelled dynamics. This paper develops results published in Bobtsov (2002)....
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In this paper we consider the problem of output control of nonlinear systems in the presence of structural disturbances caused by so called unmodelled dynamics. This paper develops results published in Bobtsov (2002). In Bobtsov (2002) conditions of efficiency of consecutive compensator were found for the case of output stabilization of linear parametrically uncertain plant under conditions of unmodelled asymptotically stable dynamics. We added disturbances as smooth nonlinear function meeting the conditions of sector restriction to the model and synthesized regulator for this case.
Flow mixing is an important process for many microfluidic applications. Efficient mixing is difficult in microscale channels owing to laminar flow. Disturbing the flow stream by modifying channel geometries or embeddi...
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Flow mixing is an important process for many microfluidic applications. Efficient mixing is difficult in microscale channels owing to laminar flow. Disturbing the flow stream by modifying channel geometries or embedding barriers improves the mixing rate. In this study, a three-dimensional (3-D) passive micromixer with propeller blades fabricated by two-photon polymerization (TPP) technology is embedded in the channel for fluid mixing. The propeller blades are designed to disturb the laminar flow in three dimensions to improve the mixing rate. Screw-shaped and flat blades are compared. The experimental results indicate that the screw-shaped propeller provides additional streamlines in the Z direction, which enhances the mixing efficiency. Finally, this phenomenon was verified through simulation.
Current methods of parametric model order reduction based on the interpolation of system matrices are extended in this paper to an efficient method to tackle multidimensional parameter spaces. In order to overcome the...
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ISBN:
(纸本)9781479947287
Current methods of parametric model order reduction based on the interpolation of system matrices are extended in this paper to an efficient method to tackle multidimensional parameter spaces. In order to overcome the curse of dimensionality the technique of sparse grids with multiple outputs is applied. The procedure is divided into an offline and online phase. In the offline phase the weighting matrices to the corresponding basis functions are computed with respect to generalized coordinates and appropriate matrix manifolds. The number of levels for the sparse grid can be set manually or determined by a tolerance criterion. The calculation of the interpolated system takes place during the online phase by evaluating the interpolant. The performance of the proposed method is demonstrated by two numerical examples.
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