The paper is devoted to the problem of a neural networkbased robust simultaneous actuator and sensor faults estimator design for the purpose of the Fault Diagnosis (FD) of non-linear systems. In particular, the method...
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The paper presents a robot control system design method based on hierarchical Finite State Machines (FSMs). The system is decomposed into subsystems. Each one of them is specified in terms of a hierarchical FSM. Previ...
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ISBN:
(纸本)9781538639276
The paper presents a robot control system design method based on hierarchical Finite State Machines (FSMs). The system is decomposed into subsystems. Each one of them is specified in terms of a hierarchical FSM. Previously the description of subsystem activities had been presented as a single, complex FSM, where with each of its states a behaviour was associated. Each behaviour was described by a flowchart. In this proposal behaviours are defined in terms of individual FSMs, resulting in a unified description using only the concept of an FSM. By using FSM specification tools that provide automatic code generation, the robot control system implementation is significantly accelerated. This approach has been verified through the design of a table-tennis ball collecting robot.
This paper presents a study devoted to recognizing horses by means of their iris and periocular features using deep convolutional neural networks (DCNNs). Identification of race horses is crucial for animal identity c...
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This paper develops new results on iterative learning control of a class of spatially interconnected systems for the particular case of the passive or active electric ladder circuits. This task is performed by convert...
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This paper develops new results on iterative learning control of a class of spatially interconnected systems for the particular case of the passive or active electric ladder circuits. This task is performed by converting the problem to one of stability along the trial for a differential linear repetitive process, leading to design based on linear matrix inequality computations. In particular, sufficient conditions for the existence of a control law are developed together with the design algorithms for the associated controller matrices. Under this control law the resulting ILC dynamics have an asymptotic convergence in terms of an error sequence formed from the difference between both the distributed reference trajectory and the current trial output produced. Finally, an illustrative simulation is given to demonstrate the feasibility and effectiveness of the new designs.
An unconditionally stable finite difference discretization motivated by the well-known Crank-Nicolson method is used to develop an iterative learning control design for systems whose dynamics are described by a fourth...
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An unconditionally stable finite difference discretization motivated by the well-known Crank-Nicolson method is used to develop an iterative learning control design for systems whose dynamics are described by a fourth-order partial differential equation.A discrete in time and space model of a deformable rectangular mirror is derived in this setting and forms the basi s for the new design,where a model for the actuator dynamics is also included.A numerical case study is given to demonstrate the properties of the new design.
A method based on the elementary operations algorithm (EOA) is developed that reduces a system matrix describing a discrete linear repetitive process to a 2-D nonsingular Roesser form such that all the input-output pr...
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Reservoir engineering is the term used in quantum control and information technologies to describe manipulating the environment within which an open quantum system operates. Reservoir engineering is essential in appli...
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Reservoir engineering is the term used in quantum control and information technologies to describe manipulating the environment within which an open quantum system operates. Reservoir engineering is essential in applications where storing quantum information is required. From the control theory perspective, a quantum system is capable of storing quantum information if it possesses a so-called decoherence free subsystem (DFS). This paper explores pole placement techniques to facilitate synthesis of decoherence free subsystems via coherent quantum feedback control. We discuss limitations of the conventional 'open loop' approach and propose a constructive feedback design methodology for decoherence free subsystem engineering. It captures a quite general dynamic coherent feedback structure which allows systems with decoherence free modes to be synthesized from components which do not have such modes.
Mobile wireless ad hoc network (MANET) becomes increasingly popular in responding to emergency situation. In this paper a possibility to support rescue team in monitoring heavy gas cloud with MANET comprised of mobile...
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An unconditionally stable finite difference discretization motivated by the well-known Crank-Nicolson method is used to develop an iterative learning control design for systems whose dynamics are described by a fourth...
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An unconditionally stable finite difference discretization motivated by the well-known Crank-Nicolson method is used to develop an iterative learning control design for systems whose dynamics are described by a fourth-order partial differential equation. A discrete in time and space model of a deformable rectangular mirror is derived in this setting and forms the basi s for the new design, where a model for the actuator dynamics is also included. A numerical case study is given to demonstrate the properties of the new design.
The paper presents an optimization method for determining the strains and stresses in reinforced concrete (RC) members subjected to the eccentric compression. The governing equations for strains in the rectangular cro...
The paper presents an optimization method for determining the strains and stresses in reinforced concrete (RC) members subjected to the eccentric compression. The governing equations for strains in the rectangular cross-sections are derived by integrating the equilibrium equations of cross-sections, taking account of the effect of concrete softening in plastic range and the mean compressive strength of concrete. The stress-strain relationship for concrete in compression for short term uniaxial loading is assumed according to Eurocode 2 for nonlinear analysis. For reinforcing steel linear-elastic model with hardening in plastic range is applied. The task consists in the solving the set of the derived equations s.t. box constraints. The resulting problem was solved by means of fmincon function implemented from the Matlab’s Optimization Toolbox. Numerical experiments have shown the existence of many points verifying the equations with a very good accuracy. Therefore, some operations from the global optimization were included: start of fmincon from many points and clusterization. The model is verified on the set of data encountered in the engineering practice.
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