The selection of the structure of a controller in large scale industry processes requires extensive process knowledge. The aim of this paper is to present methods which help designers to comprehend a process by repres...
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The selection of the structure of a controller in large scale industry processes requires extensive process knowledge. The aim of this paper is to present methods which help designers to comprehend a process by representing structural and functional relationships from actuators and process disturbances to measured or estimated variables. This paper describes similarities between brain connectivity theory and interaction analysis in multivariable processes. Results from both theories are combined to create new methods for the analysis of industry processes. The developed methods are applied to an illustrative example.
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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In this paper we use bilevel programming to find the maximum difference between a reference controller and a low-complexity controller in terms of the infinitynorm difference of their control laws.A nominal MPC for li...
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In this paper we use bilevel programming to find the maximum difference between a reference controller and a low-complexity controller in terms of the infinitynorm difference of their control laws.A nominal MPC for linear systems with constraints,and a robust MPC for linear systems with bounded additive noise are considered as reference *** possible low-complexity controllers we discuss partial enumeration(PE),Voronoi/closest point,triangulation,linear controller with saturation,and others.A small difference in the norm between a low-complexity controller and a robust MPC may be used to guarantee closed-loop stability of the low-complexity controller and indicate that the behaviour or performance of the low-complexity controller will be similar to that of the reference *** further discuss how bilevel programming may be used for closed-loop analysis of model reduction.
Easy operation of vehicle functionality is an important distinguishing mark for competitiveness. Recently, several approaches are presented in order to assist the entry for passengers. In this paper a novel vehicle do...
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Easy operation of vehicle functionality is an important distinguishing mark for competitiveness. Recently, several approaches are presented in order to assist the entry for passengers. In this paper a novel vehicle door is proposed that increases the passengers' comfort by supporting him with additional forces while opening or closing the door but retaining the common haptic properties of a passive vehicle door. Based on a mechatronic door system, containing an appropriate sensory interface, a full active actuator and a variable impedance control an excellent haptic is provided.
This paper deals with the design and evaluation of feed forward compensation methods for the hysteresis phenomena applied to magnetorheological actuators to obtain a linearized force characteristic of the actuator. Fo...
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This paper deals with the design and evaluation of feed forward compensation methods for the hysteresis phenomena applied to magnetorheological actuators to obtain a linearized force characteristic of the actuator. For these aim two compensation algorithms, the Preisach and a modified Prandtl-Ishlinskii approach, are investigated in detail considering a magnetorheological actuator with distinctive hysteresis. In order to proof the effect of the compensation methods the actuator is finally applied in a mechatronic door assistant to evaluate advanced functionality like algorithms for collision avoidance, which requires a precise adjustable braking force.
In this paper, the information consensus filter (ICF) is adapted to non-linear process and measurement models by employing an extended information filter (EIF). The nonlinear ICF is a decentralized estimator, where ea...
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Disk scheduling algorithms have long been a topic of study in computerscience. Many researchers studied the performance of the disk scheduling algorithms. However, perhaps due to the difficulty of implementation, tho...
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Disk scheduling algorithms have long been a topic of study in computerscience. Many researchers studied the performance of the disk scheduling algorithms. However, perhaps due to the difficulty of implementation, those early works focused solely on exploring the basic ideas and comparing the performance of these algorithms. No one studied the effect of bad sectors in their performance. In this paper, the performance of the disk scheduling algorithms in the presence of bad sectors is studied. The mapping of bad sectors to spare sectors is considered. We use simulation to do the performance evaluation. Simulation results show that all disk scheduling algorithms are same when there is a high percentage of bad sectors and when the spare sectors are distributed at the end of the disk. It is shown also that with a high percentage of bad sectors, the disk scheduling algorithms perform better if the distribution of spare sectors is at the end of the disk. With a low percentage of bad sectors, the scheduling algorithms perform better if the distribution of spare sectors is within the entire disk. It is shown also that all scheduling algorithms are more sensitive to bad sectors in heavily loaded systems.
For concurrent consideration of reliability and safety of manufacturing systems on the one hand, and flexibility and performance on the other, a specialized control architecture was proposed recently. It consists of a...
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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.
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