This paper investigates the feasibility of the linear parameter-varying (LPV) framework for modelling the dynamic behaviour of ultra-lightweight convertible structures based on the elastic kinetic motion mechanism wit...
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This paper investigates the feasibility of the linear parameter-varying (LPV) framework for modelling the dynamic behaviour of ultra-lightweight convertible structures based on the elastic kinetic motion mechanism with a focus on civil and structural engineering applications. Model building is carried out for the example of a Fin Ray structure. In a first step local linear time-invariant (LTI) models are derived from a finite element model of the structure for different transformation states. On the basis of this collection of local LTI models, a grid-based LPV model is established. The derived LPV model is validated in simulation by comparison with data from a finite element model.
This paper concerns the consensus of the second order vehicle platoon system in presence of stochastic noise. The control protocol is designed to achieve the desired control objective under the predecessor-follower to...
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This paper concerns the consensus of the second order vehicle platoon system in presence of stochastic noise. The control protocol is designed to achieve the desired control objective under the predecessor-follower topology. The control objectives include: speeds of all vehicles in the platoon reach the consensus and the spacings between adjacent vehicles approach to be identical. Firstly, the necessary and sufficient conditions are obtained to reach consensus in the noise-free case. Then, the stochastic consensus of the platoon with the hidden layer is analyzed by using the knowledge of stochastic differential equation(SDE). The conditions of control parameters are derived to ensure the almost sure exponential consensus of the platoon. Finally,simulation experiments show the effectiveness of the proposed results.
The effective and accurate area measurement of body surface injury regions is important for the appraisal work of forensic medicine of public security. Considering that most of the area measurement methods used in cur...
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This article proposes a new approach to raster image compression, based on the use of the two-dimensional real discrete Weyl-Heisenberg transform (DWHT). This discrete transform is orthogonal and is based on the optim...
ISBN:
(数字)9781728131658
ISBN:
(纸本)9781728131665
This article proposes a new approach to raster image compression, based on the use of the two-dimensional real discrete Weyl-Heisenberg transform (DWHT). This discrete transform is orthogonal and is based on the optimal Weyl-Heisenberg signal basis, which has the best time-frequency localization. The indicated properties are ensured by choosing the optimal forming function of the basis and the best ratio of its parameters. In addition, to assess the potential possibilities of using the discrete Weyl-Heisenberg transform in compression problems, the main criteria for compression efficiency were formulated and DWHT was compared with other well-known orthogonal transforms - discrete cosine transform (DCT) and discrete Hartley transform (DHT). It is experimentally shown that the proposed method based on discrete Weyl-Heisenberg transform has much better compression characteristics. The paper also presents the results of comparing three compression methods (DHT, DCT and DWHT) in the form of corresponding tables and figures of the restored images.
The topic of this paper is to use an intuitive model-based approach to design a networked controller for a recent benchmark scenario. The benchmark problem is to remotely control a two-wheeled inverted pendulum robot ...
The topic of this paper is to use an intuitive model-based approach to design a networked controller for a recent benchmark scenario. The benchmark problem is to remotely control a two-wheeled inverted pendulum robot via W-LAN communication. The robot has to keep a vertical upright position. Incorporating wireless communication in the control loop introduces multiple uncertainties and affects system performance and stability. The proposed networked control scheme employs model predictive techniques and deliberately extends delays in order to make them constant and deterministic. The performance of the resulting networked control system is evaluated experimentally with a predefined benchmarking experiment and is compared to local control involving no delays.
We introduce a distributionally robust minimium mean square error estimation model with a Wasserstein ambiguity set to recover an unknown signal from a noisy observation. The proposed model can be viewed as a zero-sum...
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With the increasing types and functions of smart home devices, due to the lack of experience of users, they may cause unexpected errors and risks when configuring a large number of device linkage *** response to the a...
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ISBN:
(数字)9781728176871
ISBN:
(纸本)9781728176888
With the increasing types and functions of smart home devices, due to the lack of experience of users, they may cause unexpected errors and risks when configuring a large number of device linkage *** response to the above problems, in this paper, we propose an efficient conflict detection method to avoid unexpected ***, to reduce the complexity of subsequent rule conflict detection, we divide each rule into five categories according to its functions and characteristics. At the same time, we configure the priority, user rights, and execution area for each rule. Second, we filter out the rules of the same priority, user rights, and execution area. Third, we define five types of rule conflicts. Finally, the conflict detection algorithm is used to determine whether the filtered rules conflict with the rules in the corresponding database. We have created 379 non-conflicting rules in each type of rule storage database to detect whether the newly created rules conflict with them. Through experimental comparison, we find that our approach has more advantages than previous work in terms of performance and conflict detection types.
Transient or sustained permeability transition pore (PTP) opening is important in normal physiology or cell death, respectively. These are closely linked to Ca2+ and reactive oxygen species (ROS). The entry of Ca2+ in...
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Transient or sustained permeability transition pore (PTP) opening is important in normal physiology or cell death, respectively. These are closely linked to Ca2+ and reactive oxygen species (ROS). The entry of Ca2+ into mitochondria regulates ROS production, and both Ca2+ and ROS trigger PTP opening. In addition to this feedforward loop, there exist four feedback loops in the Ca2+-ROS-PTP system. ROS promotes Ca2+ entering (F1) and induces further ROS generation (F2), forming two positive feedback loops. PTP opening results in the efflux of Ca2+ (F3) and ROS (F4) from the mitochondria, forming two negative feedback loops. Owing to these complexities, we construct a mathematical model to dissect the roles of these feedback loops in the dynamics of PTP opening. The qualitative agreement between simulation results and recent experimental observations supports our hypothesis that under physiological conditions the PTP opens in an oscillatory state, while under pathological conditions it opens in a high steady state. We clarify that the negative feedback loops are responsible for producing oscillations, wherein F3 plays a more prominent role than F4; whereas the positive feedback loops are beneficial for maintaining oscillation robustness, wherein F1 has a more dominant role than F2. Furthermore, we manifest that the proper increase in negative feedback strength or decrease in positive feedback strength not only facilitates the occurrence of oscillations and thus protects the system against a high steady state, but also assists in lowering the oscillation peak. This study may provide potential therapeutic strategies in treating neurodegenerative diseases due to PTP dysfunction.
This paper considers the model-based control of a pneumatic system, where a tank is connected to a valve via a long tube. Due to the significant distance between the control input and the pressure in the tank to be co...
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ISBN:
(纸本)9781538670804;9788993215168
This paper considers the model-based control of a pneumatic system, where a tank is connected to a valve via a long tube. Due to the significant distance between the control input and the pressure in the tank to be controlled, a distributed-parameter model is used for the tube, involving quasilinear hyperbolic partial differential equations. In contrast, the tank is modelled by ordinary differential equations. Experimental data verifies the validity of the corresponding quasilinear system model. Based on a less accurate, linear PDE-ODE system model, derived there upon, both, a back-stepping controller and a backstepping observer are designed. The resulting output feedback controller is augmented by a flatness-based feedforward controller. Experimental results for tube lengths of approximately five and twenty meters show that this controller allows to track fast pressure changes in the tank almost perfectly.
Examining the controllability of complex networks has received much attention recently. The focus of many studies is commonly trained on whether we can steer a system from an arbitrary initial state to any final state...
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Examining the controllability of complex networks has received much attention recently. The focus of many studies is commonly trained on whether we can steer a system from an arbitrary initial state to any final state within finite time with admissible external inputs. In order to accomplish the control at the minimum cost, we must study how much control energy is needed to reach the desired state. At a given control distance between the initial and final states, existing results have offered the scaling behavior of lower bounds of the minimum energy in terms of the control time. However, to reach an arbitrary final state at a given control distance, the minimum energy is actually dominated by the upper bound, whose analytic expression still remains elusive. Here we theoretically show the scaling behavior of a precise upper bound of the minimum energy in terms of the time required to achieve control. Apart from validating the analytical results with numerical simulations, our findings are applicable to any number of nodes that receive inputs directly and any types of networks with linear dynamics. Moreover, more precise analytical results for the lower bound of the minimum energy are derived with the proposed method. Our results pave the way for implementing realistic control over various complex networks with the minimum control cost.
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