An increasing number of applications require the integration of data from various disciplines, which leads to problems with the fusion of multi-source information. In this paper, a special information structure formal...
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Canonical correlation analysis(CCA) could be utilized for analyzing a linear static process when the input-output relationship is explicitly existing. Based on the canonical variates obtained by the CCA method, a nove...
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A policy iteration method is proposed to solve the optimal tracking control of continuous-time systems based on HJB equation. The performance index function is composed by the state tracking error and the tracking con...
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ISBN:
(纸本)9781467374439
A policy iteration method is proposed to solve the optimal tracking control of continuous-time systems based on HJB equation. The performance index function is composed by the state tracking error and the tracking control error. The iterative performance index function and the iterative control are obtained by the presented policy iteration. It is proven that the iterative control makes the system asymptotic stability, and the iterative performance index function is convergent. Simulation study demonstrates that the effectiveness of the proposed optimal tracking control method.
The paper deals with a modelling of the energy consumption of industrial articulated robots. The proposed modelling way is based on graphically-oriented computer-aided concept that exploits CAD software Solidworks and...
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ISBN:
(纸本)9781479999767
The paper deals with a modelling of the energy consumption of industrial articulated robots. The proposed modelling way is based on graphically-oriented computer-aided concept that exploits CAD software Solidworks and simulation environment MATLAB/Simulink with SimMechanics and SimPowersystems libraries. These software tools are used for the composition of a dynamical simulation model that represents both mechanical robot structure and robot drives during robot motions. The paper addresses mathematical analysis and interpretation of the considered simulation model. Here, equations of the motion for the mechanical robot structure and appropriate dynamical equations of the robot drives are introduced. Using these equations, the energy consumption equation is defined. The proposed way is demonstrated by simulation experiments for several different velocities of the robot motion along a selected trajectory. For the experiments, industrial articulated robot KUKA KR 5 arc driven by PMSM drives is considered.
We develop an online adaptive dynamic programming (ADP) based optimal control scheme for continuous-time chaotic systems. The idea is to use the ADP algorithm to obtain the optimal control input that makes the perfo...
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We develop an online adaptive dynamic programming (ADP) based optimal control scheme for continuous-time chaotic systems. The idea is to use the ADP algorithm to obtain the optimal control input that makes the performance index function reach an optimum. The expression of the performance index function for the chaotic system is first presented. The online ADP algorithm is presented to achieve optimal control. In the ADP structure, neural networks are used to construct a critic network and an action network, which can obtain an approximate performance index function and the control input, respectively. It is proven that the critic parameter error dynamics and the closed-loop chaotic systems are uniformly ultimately bounded exponentially. Our simulation results illustrate the performance of the established optimal control method.
The focus in this paper is on active fault diagnosis (AFD) in closed-loop sampleddata systems. Applying the same AFD architecture as for continuous-time systems does not directly result in the same set of closed-loop ...
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In this work,a finite-horizon optimal control problem for first-order plus time delay(FOPTD) processes is *** show that if the control horizon is greater than three and the prediction horizon is great than the control...
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In this work,a finite-horizon optimal control problem for first-order plus time delay(FOPTD) processes is *** show that if the control horizon is greater than three and the prediction horizon is great than the control horizon plus the time delay in discrete time,the optimal controller is not affected by either of the two ***,under these conditions,the controller parameters are explicitly calculated,the closed-loop system is shown to be stable,and the controller is *** problem considered is related to the results on linear quadratic regulation of linear systems with time delays;however,the detailed parameterization of the state-space model introduced by the FOPTD process provides an additional opportunity to investigate the exact controller structure and properties(e.g.,the locations of the closed-loop poles),which are also the major difficulties encountered and overcome in this *** problem is motivated from phenomena experienced in designing industrial model predictive control(MPC) tuning algorithms,and extensive numerical examples indicate that the proposed results speed up the MPC autotuning algorithms by 70%.
In this paper, the leader-following consensus problem of multi-agent systems with nonlinear heterogeneous dynamics and switching topologies is considered. All agent outputs are required to track a leader output which ...
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ISBN:
(纸本)9781467374439
In this paper, the leader-following consensus problem of multi-agent systems with nonlinear heterogeneous dynamics and switching topologies is considered. All agent outputs are required to track a leader output which is assumed as a desired value. By input-output feedback linearization, the nonlinear heterogeneous system is decomposed into equivalent linear systems and internal dynamics. Then a distributed auxiliary controller for every agent using local information is designed and a sufficient consensus condition is given under switching topologies with every possible topology containing a directed spanning ***, it is proved that the consensus can be achieved with the same condition for multi-agent systems under switching topologies frequently containing a directed spanning tree. Simulation results verify the effectiveness of the control protocol.
In this paper, a novel critic-identifier-actor optimal control scheme is designed for discrete-time affine nonlinear systems with uncertainties. A neural identifier is established to learn the unknown control coeffici...
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In this paper, a novel critic-identifier-actor optimal control scheme is designed for discrete-time affine nonlinear systems with uncertainties. A neural identifier is established to learn the unknown control coefficient matrix for affine nonlinear system working together with an actor-critic-based scheme to solve the optimal control in online and forward-in-time manner without value or policy iterations. A critic network learns approximate value function at each step. Another actor network attempts to improve the current policy based on the approximate value function. The weights of all neural networks (NNs) are updated at each sampling instant. Lyapunov theory is utilized to prove the stability of the closed-loop system. A simulation example is provided to illustrate the effectiveness of the developed method.
IN recent years,unmanned aerial vehicles(UAVs)have been widely employed in different applications,both military and ***,a fast growing civil UAV market is predicted over the next ***,most currently developed UAVs depe...
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IN recent years,unmanned aerial vehicles(UAVs)have been widely employed in different applications,both military and ***,a fast growing civil UAV market is predicted over the next ***,most currently developed UAVs depend on simple control *** require exact modeling of the UAVs dynamics and are vulnerable to external ***,there is great
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