In order to introduce cognition, i.e. perception and autonomously reconfigured control, into manufacturing systems for increasing the flexibility and adaptivity this paper proposes an architecture of a cognitive safet...
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This paper presents a road traffic estimation method using a GSM mobile phone as a probe. The technique relies on localization by signal strength matching. Our emphasis is on the unusual-large size of the database. We...
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For concurrent consideration of reliability and safety of manufacturing systems on the one hand, and flexibility and performance on the other, a specialized controlarchitecture was proposed recently. It consists of a...
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We describe a unique competition based on the novel concept of robotics and mechatronics products that included evaluation of the products' engineering function and interface design. Seventy-seven students of elev...
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This paper proposes an approach to robust model predictive control for distributed systems with chain *** by the application of a platoon of autonomous vehicles in linear motion, we consider a system structure in whic...
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This paper proposes an approach to robust model predictive control for distributed systems with chain *** by the application of a platoon of autonomous vehicles in linear motion, we consider a system structure in which the dynamics of each subsystem is specified in relative error coordinates and in affine form, considering the input of the preceding subsystem as disturbance(since locally not known a-priori). Employing principles of RMPC suggested before by Kerrigan et al. for the case of non-distributed systems, we first show how robust strong feasibility can be guaranteed for the distributed case. The drawback of this approach is that the zone of robustness is obtained in a relatively conservative form, and that the control error, in general, cannot be forced to zero. Thus,in the second part, we include a scheme for communicating predicted control trajectories between the subsystems in order to improve the control performance and to render the solution less conservative.
Based on Gaussian basis functions, a new method for calculating the Hamilton-Jacobi-Bellman equation for deterministic continuous-time and continuous-valued optimal control problems is proposed. A semi-Lagrangian disc...
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Based on Gaussian basis functions, a new method for calculating the Hamilton-Jacobi-Bellman equation for deterministic continuous-time and continuous-valued optimal control problems is proposed. A semi-Lagrangian discretization scheme is used to obtain a discrete-time finite-state approximation of the continuous dynamics. The value function of the discretized system is approximated by a Gaussian network. Limit behavior analysis provides a proof of convergence for the scheme. The performance of the presented approach is demonstrated for an underpowered inverted pendulum as numerical ***, a comparison to the approximation by continuous piecewise affine functions(the current state of the art) shows the benefits of the approximation technique proposed here.
作者:
Emil PopMonica LebaSystem Control
Applied Informatics and Computer Engineering Department University of Petrosani Str.Universitatii nr.20 332006 Romania
In this paper a new approach on digital controller design based on logic neural networks is presented. In the first part of the paper the logic neuron and its logic function are introduced. Based on this, there is wri...
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In this paper a new approach on digital controller design based on logic neural networks is presented. In the first part of the paper the logic neuron and its logic function are introduced. Based on this, there is written the general equation for a logic neural network, which allows the easy design of any digital controller directly from the truth table. This solution is validated through MatLab Simulink modeling and simulation and then is implemented in a VLSI chip using PALASM HDL language and also in a ladder diagram PLC device. This method has the advantages of simplicity and flexibility and represents an easy to design modern solution.
This paper considers the task of path planning for articulated robots such that the end effector is driven optimally between two points in the workspace while collision with dynamic obstacles is avoided. Compared to p...
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This paper considers the task of path planning for articulated robots such that the end effector is driven optimally between two points in the workspace while collision with dynamic obstacles is avoided. Compared to path planning in the configuration space, approaches in the workspace save the computationally expensive step of mapping obstacles from the workspace into the configuration space. The method presented here builds on a problem formulation as a mixed-integer program considering time-varying constraints resulting from moving obstacles, as well as state and input constraints depending on the region of the work space. The method is applied to a two-link robot with static and moving obstacles and is evaluated for different situations.
A method for detecting spikes and slow burst in photic evoked electroencephalogram (EEG) was proposed. The spikes were detected by combining methods of the morphological filter and the similarity coefficient in the ti...
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With increasing defect density, microprocessors, especially the embedded caches, will encounter more faults. Adding spare resources to replace defective components is a widely accepted method for yield enhancement. In...
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