This paper proposes a novel approach to stability analysis of discrete-time nonlinear periodically time-varying systems. The contributions are as follows. Firstly, a relaxation of standard Lyapunov conditions is deriv...
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A comprehensive research has been undertaken to simulate a model based on the functional electrical stimulation (FES), the only method to stimulate the paralyzed muscles of paraplegics. The simulation of sit-to-stand ...
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In this paper sliding mode control (SMC) of a hoisting crane is considered. The proposed control method employs a time-varying switching line which moves with a constant velocity and a constant angle of inclination to...
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Oil refining industries lose billions of dollars every year due to emergency shutdown. Accordingly, there is considerable interest in the field of fault detection and isolation from industrial practitioners and academ...
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ISBN:
(纸本)9781846000386
Oil refining industries lose billions of dollars every year due to emergency shutdown. Accordingly, there is considerable interest in the field of fault detection and isolation from industrial practitioners and academic researchers. Although each failure can lead to undesirable shutdown that affect the mass production of the plant, modelling of the industrial processes is also important issue due to the fact that fault detection and isolation (FDI) schemes usually depend on process models. The main contributions of this paper are, introducing graphical discrete tools for modelling an industrial oil producing station (IOPS), and developing a unified FDI approach to this station. The former models the IOPS using Petri nets as a graphical discrete tool based on the information collected from the expertise working in the field and its available catalogues. The latter generalizes the Petri-net based diagnoser using a variable to check the number of moved tokens instead of a constant value. The most important feature of the generalized diagnoser is that it evaluates the faulty states without checking the properties that restrict the performance of the conventional dignosers to certain types of Petri net models. This paper also proposes a method to analyse the developed model. This method stems from the Petri nets' properties. Using Petri net tools for modelling and fault detecting & isolating of the IOPS, results in a unified frame work. Simulation results obtained using MATLAB-based Petri net-tool, reflect the soundness of the proposed modelling and FDI schemes for the IOPS.
This paper aims to address the robust convergence problem that arises from discrete-time iterative learning control (ILC) systems subject to random disturbances. Two alternative approaches are considered in order to a...
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ISBN:
(纸本)9781612848006
This paper aims to address the robust convergence problem that arises from discrete-time iterative learning control (ILC) systems subject to random disturbances. Two alternative approaches are considered in order to achieve the perfect output tracking of the stochastic discrete-time ILC systems in the sense of both expectation and variance, which use the tracking error and the input error for analysis, respectively. It is shown that the convergence results of two approaches to ILC can be established by developing some statistical expressions in super-vector forms. Moreover, it is demonstrated that the convergence results of two approaches to ILC are not always equal, and they can keep the same only in the case where the controlled plants are square.
This paper is concerned with the column formation control of multi-robot systems that are subject to input constraints. A new leader-follower setup is proposed, under which the Lyapunov method can provide a simple con...
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ISBN:
(纸本)9781612848006
This paper is concerned with the column formation control of multi-robot systems that are subject to input constraints. A new leader-follower setup is proposed, under which the Lyapunov method can provide a simple controller in terms of two feedback parameters. It is shown that using an elliptic approximation to input constraints, the two feedback parameters can be obtained directly with a geometric analysis method. Moreover, a sufficient condition is presented for the leader robot to guarantee that the desired column formation can be achieved, with which a particular controller is designed by selecting two appropriate functions for the feedback parameters. Simulation results are included to verify the effectiveness of the proposed theoretical results.
Robust L_(2) - L_(infinity) consensus control is studied for the second-order multi-agent systems with external disturbances and parameter uncertainties. By defining an appropriate controlled output, the consensus pro...
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ISBN:
(纸本)9781612848006
Robust L_(2) - L_(infinity) consensus control is studied for the second-order multi-agent systems with external disturbances and parameter uncertainties. By defining an appropriate controlled output, the consensus problem of the systems is transformed into a normal L_(2) - L_(infinity) control problem, and distributed state feedback protocols with time-delay are proposed. Sufficient conditions are established for the convergence to consensus of the network under fixed or switching topology. Numerical simulations are provided to demonstrate the effectiveness of our theoretical results.
This paper deals with the active collision avoidance maneuver for the chaser along the specified trajectory, and presents a maneuver approach with constant thrust. Using the 3D stereo vision measurement, The relative ...
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ISBN:
(纸本)9781612848006
This paper deals with the active collision avoidance maneuver for the chaser along the specified trajectory, and presents a maneuver approach with constant thrust. Using the 3D stereo vision measurement, The relative position parameters of the target spacecraft for analyzing the collision possibility are obtained by using the vision measurement and the target maneuver positions are calculated through the equidistance interpolation method. The working times of thrusters in three axes can be respectively computed by the time series analysis method. In particular, the perturbation and fuel consumption are addressed during the computation of working time. Furthermore, the acceleration sequences and the corresponding working time series can be employed to determine a switching control law for the active collision avoidance maneuver. The simulation results show that the switch control law can effectively guarantee the chaser moving along the specified trajectory.
This paper addresses the problem of tracking multiple maneuvering extended targets in the framework of random finite set theory. An elliptical model is adopted for exploiting sensor measurements of target extent, and ...
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ISBN:
(纸本)9781612848006
This paper addresses the problem of tracking multiple maneuvering extended targets in the framework of random finite set theory. An elliptical model is adopted for exploiting sensor measurements of target extent, and the target dynamics is described by a jump Markov linear system which combines the shape parameters into the kinematic state vector. As each extended target gives rise to unlabeled multiple measurements per time step, all the received measurements are partitioned into a number of subsets so that the measurements in each subset are expected to stem from the same source. In addition, the best-fitting Gaussian approximation approach is employed to circumvent the difficulty of multiple model mixing in the Gaussian mixture probability hypothesis density (GM-PHD) filter. A numerical example is provided to compare the performance of the proposed filter with that of the GM-PHD filter without measurement partition.
In this paper, a new accelerating technique for content-based image retrieval is proposed, suitable for the Color and Edge Directivity Descriptor (CEDD). To date, the experimental results presented in the literature h...
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