Gaussian process state-space models (GP-SSMs) are a very flexible family of models of nonlinear dynamical systems. They comprise a Bayesian nonparametric representation of the dynamics of the system and additional (hy...
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Gaussian process state-space models (GP-SSMs) are a very flexible family of models of nonlinear dynamical systems. They comprise a Bayesian nonparametric representation of the dynamics of the system and additional (hyper-)parameters governing the properties of this nonparametric representation. The Bayesian formalism enables systematic reasoning about the uncertainty in the system dynamics. We present an approach to maximum likelihood identification of the parameters in GP-SSMs, while retaining the full nonparametric description of the dynamics. The method is based on a stochastic approximation version of the EM algorithm that employs recent developments in particle Markov chain Monte Carlo for efficient identification.
Low cost and high reliability are the main issues considered in power converter design for hybrid electric vehicle. In this paper, a hybrid power converter is proposed for the power flow control of the battery-fuel ce...
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Low cost and high reliability are the main issues considered in power converter design for hybrid electric vehicle. In this paper, a hybrid power converter is proposed for the power flow control of the battery-fuel cell hybrid electric vehicle. The converter consists of a unidirectional Γ Z-source converter and a bidirectional DC-DC converter. By controlling the voltage of the Z source capacitor and the modulation index of the inverter, the power flow between the fuel cell, battery and the load can be controlled flexibly. The different operation modes of the system and the power flow control strategies are analysed. To verify the validity of the proposed power converter topology and the control methods, system simulation model is developed in Matlab/Simulink environment. In addition, the simulation model is also implemented in the RT-LAB real-time simulator. The simulation results demonstrated the feasibility of the proposed methods.
The problem of cyclic scheduling of multimodal concurrent processes (MCPs) is considered. Processes composed of sub-sequences of local cyclic processes (LCPs) are treated as multimodal processes, e.g. in case local pr...
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This research is focused on providing solutions for kinematic evaluation of articulated rigid objects when noisy data is available. Recent results proposed different techniques which necessitate learning stages or lar...
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This research is focused on providing solutions for kinematic evaluation of articulated rigid objects when noisy data is available. Recent results proposed different techniques which necessitate learning stages or large relative motions. Our approach starts from a complete analytical solution which uses only point and line features to parametrize the rigid motion. This analytical solution is built using orthogonal dual tensors generated by rigid basis of dual vectors. Next, the necessary transformations are added to the theoretical solution so it can be used with noisy data input. Thus, the computational procedure is revealed and different experiments are presented in order to underline the advantages of the proposed approach.
This paper is concerned with the design of positive observers for positive interval systems with time delay. For that, a solution based on LMI programming is provided to the problem of designing observers that ensure ...
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This paper is concerned with the design of positive observers for positive interval systems with time delay. For that, a solution based on LMI programming is provided to the problem of designing observers that ensure guaranteed bounds on the estimated states that are nonnegative whenever the initial conditions are nonnegative. Furthermore, it is revealed that an unstable positive system cannot be positively stabilized without taking into account the positivity of the dynamic errors. Then, the problem of positive stabilization by dynamic feedback controllers based observer is investigated, taking into account that the positivity of the error signals is necessary to stabilize a positive system and keep it positive at the same time. We derive then necessary and sufficient conditions for the existence of positive observers and show that the solvability can be decided via LMI (Linear Matrix Inequalities) programming techniques.
Sensory environments for healthcare are commonplace nowadays. A patient monitoring system in such an environment deals with sensor data capture, transmission and processing in order to provide on-the-spot support for ...
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ISBN:
(纸本)9781479947164
Sensory environments for healthcare are commonplace nowadays. A patient monitoring system in such an environment deals with sensor data capture, transmission and processing in order to provide on-the-spot support for monitoring the vulnerable and critical patient. A fault in such a system can be hazardous on the health of the patient. Therefore, such a system must be dependable and ensure reliability, fault-tolerance, safety and other critical aspects, in order to deploy it in real scenario. This paper encounters some of these issues and proposes a component platform to develop a flexible framework with specific support for fault tolerance and safe inter-component communication related QoS aspects. The platform adopts the Service Component Architecture (SCA) model and defines a Data Distribution Service (DDS) binding, which provides the fault tolerance and the required safety-ensuring techniques and measures, as defined in the IEC 61784-3-3 standard.
Selective catalytic reduction (SCR) system is a complex chemical process which is used to treat exhaust gas in many applications, e.g. diesel engines in automobiles. An SCR model was constructed by General Motors (GM)...
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Nowadays automation systems are required to be flexible in order to cope with the ever changing requirements of the applications in terms of complexity, extensibility or dynamism. The use of reconfiguration techniques...
Nowadays automation systems are required to be flexible in order to cope with the ever changing requirements of the applications in terms of complexity, extensibility or dynamism. The use of reconfiguration techniques helps to meet these demanding requirements, but at the same time increase the complexity of the systems. This paper presents a supervisor architecture that allows maintaining the availability of a control system in spite of failures such as a node crash, by means of reconfigurations at the control level. To do this, the advantages that Model-Driven Development technology provides have been explored.
Nowadays parallel manipulators are used widely in bioengineering applications;this leads to many exciting expectations as well as challenges. The kinematic analysis of parallel manipulators with their differential kin...
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The voltage ripples of the half-bridge rectifier lead to the requirement on bulky electrolytic capacitors and voltage difference on the split capacitors. In this paper, a topology for a single-phase rectifier is propo...
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ISBN:
(纸本)9781479957774
The voltage ripples of the half-bridge rectifier lead to the requirement on bulky electrolytic capacitors and voltage difference on the split capacitors. In this paper, a topology for a single-phase rectifier is proposed to reduce the DC-bus voltage ripples and voltage difference without using electrolytic capacitors. The proposed rectifier contains two legs: 1) A rectification leg to maintain the DC-bus voltage and to draw a clean input current with unity power factor;2) A neutral leg to reduce DC-bus voltage ripples and the voltage difference. The two legs are independently controlled and the resulted high performance of the system is achieved. In order to test the system, real-time simulations were conducted and associated results are presented to demonstrate that the system is able to considerably reduce the DC-bus voltage ripples. With the derived system, the total required DC-bus capacitors can be reduced a lot when achieving the same level of voltage ripples.
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