We present a MATLAB toolbox with several well-known algorithms to test the structural and strong structural controllability of linear systems. For structural controllability a function to determine the dimension of th...
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We present a MATLAB toolbox with several well-known algorithms to test the structural and strong structural controllability of linear systems. For structural controllability a function to determine the dimension of the structurally reachable subspace and a function for calculating the generic rank of a matrix are provided. The strong structural controllability functions are based on different algorithms, where one of the algorithms has a linear time complexity. Additionally the toolbox provides functions to handle uncertain systems and signed systems. To check the correctness and performance of the functions several test scripts are included. The help browser provides additional information to the user. The toolbox is useful for analyzing structured systems given in state space form. It may also be used for teaching the methods of structural analysis. It is intended to expand the toolbox with further algorithms for structural analysis. Copyright (C) 2019. The Authors. Published by Elsevier Ltd. All rights reserved.
In this paper, we present a dynamic predictor-based controller, which is applied to a platoon of vehicles under a modified extended cooperative adaptive cruise control introduced in Montanaro et al. (2014). We show th...
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In this paper, we present a dynamic predictor-based controller, which is applied to a platoon of vehicles under a modified extended cooperative adaptive cruise control introduced in Montanaro et al. (2014). We show the advantages that the dynamic predictor control law offers. A comparison with the control without predictor is made. An illustrative example is presented. Copyright (C) 2019. The Authors. Published by Elsevier Ltd. All rights reserved.
Methane is currently an emerging alternative feedstock for biological processes. In this paper, we study a particular methane bioconversion process based on the bacterium Methylomicrobium buryatense 5GB1, with the aim...
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Methane is currently an emerging alternative feedstock for biological processes. In this paper, we study a particular methane bioconversion process based on the bacterium Methylomicrobium buryatense 5GB1, with the aim of improving accessibility of the process to state estimation and control. First, a non-linear unsegregated, unstructured model, consisting of 8 dynamic mass flow balance equations and 8 state variables, is constructed and implemented as a dynamic simulator in MATLAB and Simulink. Second, an observability analysis is performed with the aim of finding suitable sensor configurations for state estimation, and the resulting observable configurations are further evaluated by checking the performance of linear Kalman filters for each configuration. This evalution shows that including a biomass sensor in the measurements for the Kalman filter may have conflicting effects on estimation accuracy. (C) 2019, ifac (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
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. (C) 2019, ifac (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
This paper presents a systematic frequency domain approach to analyse the stability of reduced-order linear systems with single delay. More precisely, we address the problem of the spectral abscissa characterization a...
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This paper presents a systematic frequency domain approach to analyse the stability of reduced-order linear systems with single delay. More precisely, we address the problem of the spectral abscissa characterization and the coexistence of non oscillating modes for such functional differential equations. The dominancy of such non oscillating modes is analytically shown for the considered reduced order Time-delay systems. Copyright (C) 2019. The Authors. Published by Elsevier Ltd. All rights reserved.
Today's mobile devices are the most common investment in the technology industry as it is almost impossible to find a person who does not own a personal phone. Being the weakest point of nearly every user, as the ...
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Today's mobile devices are the most common investment in the technology industry as it is almost impossible to find a person who does not own a personal phone. Being the weakest point of nearly every user, as the data stored in it is essential, increased phone access security has been achieved by using biometric authentication modalities on these mobile devices. Here, the biometric modules that are most commonly used for authentication and how they are shared, the process of access and the weaknesses of each of these biometric modalities will be elaborated. Also indicate what are the potential attacks and problems that can be encountered in each of the biometric authentication methods on mobile devices. (c) 2019, ifac (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
The paper considers the problem of reachability and observability finite interval gramians computation and approximation for linear time-varying systems. Both gramians are obtained from system trajectories. The reacha...
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The paper considers the problem of reachability and observability finite interval gramians computation and approximation for linear time-varying systems. Both gramians are obtained from system trajectories. The reachability gramian is derived from the adjoint state impulse response and the observability gramian is obtained from the zero-input output response. The application of the adjoint system is discussed and the two basic impulse response characteristics, namely the regular and the adjoint state impulse responses are presented. The relation with the linear time-invariant case is also discussed and the role of the state transition matrix for computing the gramians is shown. An algorithm for derivation of the state transition matrix is proposed, which is based on the integration of the state equation by using the method of Runge-Kutta. The gramians are approximated in terms of Legendre orthogonal series representations of system trajectories. Copyright (C) 2019. The Authors. Published by Elsevier Ltd. All rights reserved.
In subsea applications there are an increasing demand for Remotely Operated Vehicles (ROV's). This study examines a BlueROV2 inspection ROV prototype for autonomous operation in three-dimensional space. This study...
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In subsea applications there are an increasing demand for Remotely Operated Vehicles (ROV's). This study examines a BlueROV2 inspection ROV prototype for autonomous operation in three-dimensional space. This study describes the ROV modelling, identification, control development and closed-loop simulations and experiments. The main transmitter applied for the navigation is an Underwater Acoustic Positioning System (UAPS) which acts as an underwater GPS unit. The transmitter introduces a dominant output time delay which is handled by a smith predictor. The results show that the smith predictor does not handle the time delay well, probably because the time delay is time-variant. Online identification of the time delay is proposed as a potential solution for minimizing the impact of the time delay variations over time. Copyright (C) 2019. The Authors. Published by Elsevier Ltd. All rights reserved.
This paper deals with the problem of stabilization of systems with a constant delay in the actuator. The time-delay is unknown and can be considerably long, involving an interesting challenge from the control point of...
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This paper deals with the problem of stabilization of systems with a constant delay in the actuator. The time-delay is unknown and can be considerably long, involving an interesting challenge from the control point of view. The proposed control scheme is based on a set of infinite dimensional observers with an adaptive time-delay estimation. The convergence of the observers is studied considering the time-varying delays introduced by the delay estimation. A stability analysis of the closed-loop control system is provided. The proposed observer-based controller is tested by means of numerical simulation, considering an unstable plant. Copyright (C) 2019. The Authors. Published by Elsevier Ltd. All rights reserved.
The invasion of exotic species in aquatic environments is one of the several factors responsible for altering the dynamics of fish communities. The golden mussel Limnoperna fortunei was first recorded in the upper Uru...
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The invasion of exotic species in aquatic environments is one of the several factors responsible for altering the dynamics of fish communities. The golden mussel Limnoperna fortunei was first recorded in the upper Uruguay river, Brazil in 2012 and since then there is an open need to discuss and evaluate how this invasive species interferes with the life of the ten must abundant fishes of this region. In order to achieve this, this work uses two different nonlinear state-space models to describe the dynamics of the K condition factor and abundance of these communities, whose parameters are identified by extended Least Squares procedures, considering real, in locus collected data. One model is polynomially nonlinear on the states and the other is linear, while both are output-nonlinear. This work also evaluates quantitatively how the (sudden) presence of the golden mussel meddled with the aquatic life of the upper Uruguay river, with the aid of high-fidelity simulation results. The methodology points to significant changes in five distinct fish communities, which was also partially observed in nature. Moreover, preliminary results regarding control techniques are also presented to illustrate how environmental policies could act to prevent a biological catastrophe due to this invasor. (C) 2019, ifac (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
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