Repetitive processes make a series of sweeps, or passes, through a set of dynamics defined over the finite pass length. Once a pass is complete the process resets to the starting location ready for the start of the ne...
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Multipass processes was the name used to describe the dynamics of longwall coal cutting in the early 1970's. Later the term 'repetitive process' was used and, using coal cutting as a motivating example, th...
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Iterative learning control has been developed for systems that repeat the same task over a finite duration with resetting to the starting location once each repetition, or trial, is complete. The novel feature is the ...
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Iterative learning control has been developed for systems that repeat the same task over a finite duration with resetting to the starting location once each repetition, or trial, is complete. The novel feature is the use of information generated on the previous trial to compute the control input for the next one and the basic problem is to force the sequence of trial outputs to track a given reference signal. In many cases, it is also necessary to regulate the dynamics produced along the trials, for which this paper gives new results using the theory of linear repetitive processes and the generalized form of the Kalman-Yakubovich-Popov lemma.
The paper deals with the problem of a robust actuator fault diagnosis for Linear Parameter-Varying (LPV) systems with Recurrent Neural-Network (RNN). The preliminary part of the paper describes the derivation of a dis...
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The paper deals with the problem of a robust actuator fault diagnosis for Linear Parameter-Varying (LPV) systems with Recurrent Neural-Network (RNN). The preliminary part of the paper describes the derivation of a discrete-time polytopic LPV model with RNN. Subsequently, a robust fault detection, isolation and identification scheme is developed, which is based on the observer and H ∞ framework for a class of nonlinear systems. The proposed approach is designed in such a way that a prescribed disturbance attenuation level is achieved with respect to the actuator fault estimation error while guaranteeing the convergence of the observer.
This paper is dedicated to the asymptotic stability of 2D discrete Roesser models. Two well-known necesssary and sufficient conditions expressed in terms of characteristic polymials are recalled and their equivalence ...
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Many systems repeat the same operation over and over again on a finite duration. Repetitive processes have this characteristic where repeated sweeps, termed passes, are made over the finite pass length and when each i...
Many systems repeat the same operation over and over again on a finite duration. Repetitive processes have this characteristic where repeated sweeps, termed passes, are made over the finite pass length and when each is complete the process resets to the starting location and the next pass begins. The distinguishing feature of these processes is that the output, or pass profile, produced on each pass explicitly contributes to the dynamics of the next one and can result in oscillations that increase in amplitude from pass-to-pass. For applications, it is necessary to have a stability theory on which to base control law design for stabilization and performance. This paper gives a reflective overview of the stability theory for linear repetitive processes with particular attention to the forms of stability possible, their characterizations, and suitability for control law design. A particular feature is that the strongest form of stability for these processes can, especially for applications, lead to difficulties in control law design for stability and performance. One alternative in such cases is also considered.
Repetitive processes propagate information in two separate directions, one of which is temporal and the other can be spatial. A repetitive process makes a series of sweeps, or passes, through a set of dynamics over th...
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Repetitive processes propagate information in two separate directions, one of which is temporal and the other can be spatial. A repetitive process makes a series of sweeps, or passes, through a set of dynamics over this finite duration and when each is complete the process resets. Moreover, the output produced on the previous pass explicitly contributes to the dynamics produced on the next one. Hence they can also be viewed as a class of periodic systems. They also pose control problems that cannot be solved by standard systems control theory and design algorithms. This paper gives new results on the application of the repetitive process control theory to the analysis of ladder networks.
This paper develops a vector Lyapunov function based approach to the stabilization and H∞ control of continuous and discrete 2D nonlinear systems described in Roesser model form. The property of global asymptotic sta...
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The paper deals with the problem of robust predictive fault-tolerant control for non-linear discrete-time systems. The proposed approach starts with the fault estimation and then the fault is compensated with a robust...
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ISBN:
(纸本)9781479928569
The paper deals with the problem of robust predictive fault-tolerant control for non-linear discrete-time systems. The proposed approach starts with the fault estimation and then the fault is compensated with a robust controller. If the robust fault compensation does not provide satisfactory results, which means that the current state does not belong to the robust invariant set, then a suitable predictive control actions are performed in order to enhance the invariant set. This appealing phenomenon makes it possible to enlarge the domain of attraction, which makes the proposed approach an efficient solution. Subsequently, the proposed approach is extended to the linear parameter varying systems. The final part of the paper shows an illustrative example regarding wind turbines.
Many systems compete the same finite duration task over and over again, where once each is completed the system resets to the starting location and the next execution begins. Each execution is known as a trial and the...
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