The article presents simulator of injection-ignition system of internal combustion engine with spark ignition developed at the Technical University of Opole. This system is based on Bosch series engine ECU with softwa...
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The article presents simulator of injection-ignition system of internal combustion engine with spark ignition developed at the Technical University of Opole. This system is based on Bosch series engine ECU with software 7.5. It allows to analyze of motor parameters using both on-board diagnostic system, and data network CAN BUS under different operating conditions of the system. For this purpose, the simulator is equipped with a number of additional devices enable to generate repetitive input signals for the ECU, allowing to open the actual working conditions. Crucial for the simulator was to generate the signals informing ECU about the instantaneous position of the crankshaft and camshaft. For this purpose, the module Arduino was used. This type of solution allows, to recreate momentary engine operating conditions. This article also presents the concept of development with new features and sentences feasible for this type of device and simulation mode.
The benefits of decreasing the quality (Q) factor of an Atomic Force Microscope (AFM) micro-cantilever, when operating in tapping mode, using passive piezoelectric shunt control have been previously demonstrated. A pa...
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The benefits of decreasing the quality (Q) factor of an Atomic Force Microscope (AFM) micro-cantilever, when operating in tapping mode, using passive piezoelectric shunt control have been previously demonstrated. A passive electrical impedance is placed in series with the cantilever oscillation voltage to control the Q factor of the cantilever. The amount of Q factor reduction obtainable using this method is limited due to the passive nature of the shunt impedance. This work demonstrates that further decreases in the cantilever Q factor may be obtained through the use of an active impedance. The active impedance is designed in such a way that the piezoelectric shunt controller emulates a PPF controller in a displacement feedback loop. The damping obtained with this controller is compared with the maximum damping obtainable with a passive impedance.
The paper presents constraint satisfaction problem driven approach to analytical solution of the cyclic scheduling problem in the Flexible Manufacturing System(FMS) producing multi-type parts where for material handli...
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The paper presents constraint satisfaction problem driven approach to analytical solution of the cyclic scheduling problem in the Flexible Manufacturing System(FMS) producing multi-type parts where for material handling are used the Automated Guide Vehicles Systems(AGVS). Finding the conditions guaranteeing the AGVs deadlock-free and collision-free movement policy is the aim of our researches. The AGVs co-sharing the common parts of the transportation route while executing repetitive processes, i.e. being assigned to AGVs passing along machines in a cyclic way, can be modeled in terms of Cyclic Concurrent Process Systems(CCPS). Schedulability analysis for a given CCPS answers the question whether a cyclic schedule exists or not. The paper suggests approach for schedulability analysis of multimodal processes representing real manufacturing employing the declarative modeling.
We study in this paper the consensus problem for multi-agent systems with agents characterized by high-order linear systems with time delays in both the communication network and inputs. Provided that the open-loop dy...
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ISBN:
(纸本)9781479900305
We study in this paper the consensus problem for multi-agent systems with agents characterized by high-order linear systems with time delays in both the communication network and inputs. Provided that the open-loop dynamics of the agents is not exponentially unstable, but may be polynomially unstable, and the communication topology contains a directed spanning tree, a truncated predictor feedback approach is established to solve the consensus problem. It is shown that, if the delays are constant and exactly known, the consensus problems can be solved by observer based output feedback protocols for arbitrarily large yet bounded delays. If it is further assumed that the open-loop dynamics of the agents only contains zero eigenvalues, the delays are allowed to be time-varying and unknown.
This paper considers Markov decision processes whose optimal policy is a randomized mixture of monotone increasing policies. Such monotone policies have an inherent sparsity structure. We present a two-stage convex op...
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This paper considers Markov decision processes whose optimal policy is a randomized mixture of monotone increasing policies. Such monotone policies have an inherent sparsity structure. We present a two-stage convex optimization algorithm for computing the optimal policy that exploits the sparsity. It combines an alternating direction method of multipliers (ADMM) to solve a linear programming problem with respect to the joint action state probabilities, together with a subgradient step that promotes the monotone sparsity pattern in the conditional probabilities of the action given the state. In the second step, sum-of-norms regularization is used to stress the monotone structure of the optimal policy.
In this study, a developed automatic sleep stage classification system with a portable EEG recording device, (Mindo-4s) is implemented by JAVA-based sleep graphical user interface (GUI) in android platform. First, the...
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This paper develops a vector Lyapunov function based approach to the stabilization and H∞ control of continuous and discrete 2D nonlinear systems described in Roesser model form. The property of global asymptotic sta...
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Repetitive processes propagate information in two separate directions, one of which is temporal and the other can be spatial. A repetitive process makes a series of sweeps, or passes, through a set of dynamics over th...
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Repetitive processes propagate information in two separate directions, one of which is temporal and the other can be spatial. A repetitive process makes a series of sweeps, or passes, through a set of dynamics over this finite duration and when each is complete the process resets. Moreover, the output produced on the previous pass explicitly contributes to the dynamics produced on the next one. Hence they can also be viewed as a class of periodic systems. They also pose control problems that cannot be solved by standard systems control theory and design algorithms. This paper gives new results on the application of the repetitive process control theory to the analysis of ladder networks.
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