This paper presents a framework for the nonlinear control of dual-stage actuators (DSA). Motivated by various nonlinear controllers that make use of sector bounded and £ ∞ nonlinearities for the control of satur...
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This paper presents a framework for the nonlinear control of dual-stage actuators (DSA). Motivated by various nonlinear controllers that make use of sector bounded and £ ∞ nonlinearities for the control of saturated linear systems, a methodology for integrating such nonlinear functions in order to improve the performance of DSA is presented. The stability of the closed-loop system is assessed by casting the nonlinearities in a mixed sector-bounded plus quasi-Linear Parameter Varying (LPV) framework, leading to a set of linear matrix inequalities (LMIs) to be satisfied by the controller parameters. Taking advantage of the developed framework, a new £ ∞ function is proposed to avoid the saturation of the secondary actuator. Simulation results illustrate the validity of the proposed framework and its potential for the performance improvement of DSA.
Recently we studied communication delay in distributed control of untimed discrete-event systems based on supervisor localization. We proposed a property called delay-robustness: the overall system behavior controlled...
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ISBN:
(纸本)9781467360890
Recently we studied communication delay in distributed control of untimed discrete-event systems based on supervisor localization. We proposed a property called delay-robustness: the overall system behavior controlled by distributed controllers with communication delay is logically equivalent to its delay-free counterpart. In this paper we extend our previous work to timed discrete-event systems, in which communication delays are counted by a special clock event tick. First, we propose a timed channel model and define timed delay-robustness;for the latter, a polynomial verification procedure is presented. Next, if the delay-robust property does not hold, we introduce bounded delay-robustness, and present an algorithm to compute the maximal delay bound (measured by number of ticks) for transmitting a channeled event. Finally, we demonstrate delay-robustness on the example of an under-load tap-changing transformer.
This paper presents a comparative analysis of two alternative control strategies based on the Internal Model Principle: the Repetitive controller and the Multiple Resonant controller. The proposed implementations are ...
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This paper presents a comparative analysis of two alternative control strategies based on the Internal Model Principle: the Repetitive controller and the Multiple Resonant controller. The proposed implementations are evaluated experimentally in a servo-vision ball and plate balancing system. The plant is composed by an orientable platform with a free rolling sphere on top, where the controlled variable is the ball position. The methodology considered to synthesize the associated state gains parameters is the Linear Quadratic Regulator approach. The experimental results compare characteristics such as steady-state error, transient response and input signal for each implemented control strategy.
Based on the adaptive dynamic programming(ADP) algorithm,a new optimal tracking control method is proposed for a class of complex-valued nonlinear systems in this *** tracking error is rst de ned,and then the performa...
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ISBN:
(纸本)9781479947249
Based on the adaptive dynamic programming(ADP) algorithm,a new optimal tracking control method is proposed for a class of complex-valued nonlinear systems in this *** tracking error is rst de ned,and then the performance index function which is about the tracking error is *** transformation,the complex-valued tracking error system is mapped into *** optimal control method for the tracking error system is *** two neural networks are used to be as the critic network and action network,*** is proven that the closed-loop system is uniformly ultimately bounded based on Lyapunov ***,the simulation study is given to show the effectiveness of the proposed optimal tracking control method for complex-valued nonlinear system.
The paper investigates the structural controllability of leader-follower multi-agent systems under absolute and relative protocols. Three models of agents: double integrator, high-order integrator, and generic linear ...
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ISBN:
(纸本)9781479900305
The paper investigates the structural controllability of leader-follower multi-agent systems under absolute and relative protocols. Three models of agents: double integrator, high-order integrator, and generic linear are analyzed. Some necessary and sufficient graphical conditions are provided for structural controllability based on information communication graph of the system. In particular, linear absolute and relative protocols are designed for generic linear agents under which structural controllability is proved to be uniquely determined by information communication graph.
Average consensus is critical in synchronization and coordination control of networked dynamical systems. In this note the event-based average consensus problem is studied. By appropriate event design, discontinuous t...
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ISBN:
(纸本)9781479925391
Average consensus is critical in synchronization and coordination control of networked dynamical systems. In this note the event-based average consensus problem is studied. By appropriate event design, discontinuous threshold is employed and thus continuous communication among agents can be avoided to reduce energy consumption in practice. Moreover, it is showed that the proposed event-triggered control can achieve average consensus with fewer events and faster consensus rate compared with existing works. Simulation results have shown the effectiveness of the proposed approach.
This paper designs PI controller which is easy to operate in an actual random framework for NCS,for nonlinear ARMAX model is difficult to achieve in the practical *** on the nature of the network control system is a r...
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This paper designs PI controller which is easy to operate in an actual random framework for NCS,for nonlinear ARMAX model is difficult to achieve in the practical *** on the nature of the network control system is a random system and PI controller design is easy to operate in an actual random framework for NCS,the iterative learning ideas to batch control system output probability density function,so that the output probability density function of the system with increasing batch tracking a given probability density *** order to achieve the NCS system of tracking error probability density function control,this paper introduces the minimum entropy control algorithm.
Active fault isolation of parametric faults in closed-loop MIMO systems are considered in this paper. The fault isolation consists of two steps. The first step is group-wise fault isolation. Here, a group of faults is...
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Active fault isolation of parametric faults in closed-loop MIMO systems are considered in this paper. The fault isolation consists of two steps. The first step is group-wise fault isolation. Here, a group of faults is isolated from other possible faults in the system. The group-wise fault isolation is based directly on the input/output signals applied for the fault detection. It is guaranteed that the fault group includes the fault that had occurred in the system. The second step is individual fault isolation in the fault group. Both types of isolation are obtained by applying dedicated auxiliary inputs and the associated residual outputs.
For most practical nonlinear state estimation problems, the conventional nonlinear filters do not usually work well for some cases, such as inaccurate system model, sudden change of state-interested and unknown varian...
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For most practical nonlinear state estimation problems, the conventional nonlinear filters do not usually work well for some cases, such as inaccurate system model, sudden change of state-interested and unknown variance of measurement noise. In this paper, an adaptive cubature strong tracking information filter using variational Bayesian (VB) method is proposed to cope with these complex cases. Firstly, the strong tracking filtering (STF) technology is used to integrally improve performance of cubature information filter (CIF) aiming at the first two cases and an iterative scheme is presented to effectively evaluate a strong tracking fading factor. Secondly, the VB method is introduced to iteratively evaluate the unknown variance of measurement noise. Finally, the novel adaptive cubature information filter is obtained by perfectly combining the STF technology with the VB method, where the variance estimation provided by the VB method guarantees normal running of the strong tracking functionality.
This paper is focusing on active fault detection (AFD) for parametric faults in closed-loop systems. This auxiliary input applied for the fault detection will also disturb the external output and consequently reduce t...
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ISBN:
(纸本)9781479932757
This paper is focusing on active fault detection (AFD) for parametric faults in closed-loop systems. This auxiliary input applied for the fault detection will also disturb the external output and consequently reduce the performance of the controller. Therefore, only small auxiliary inputs are used with the result that the detection and isolation time can be long. In this paper it will be shown, that this problem can be handled by using a modification of the feedback controller. By applying the YJBK-parameterization (after Youla, Jabr, Bongiorno and Kucera) for the controller, it is possible to modify the feedback controller with a minor effect on the external output in the fault free case. Further, in the faulty case, the signature of the auxiliary input can be optimized. This is obtained by using a band-pass filter for the YJBK parameter that is only effective in a small frequency range where the frequency for the auxiliary input is selected. This gives that it is possible to apply an auxiliary input with a reduced amplitude. An example is included to show the results.
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