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...
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, the development of a stability and control theory for these processes began. In the past two decades, this theory has been developed, motivated by the emergence of more physical examples and the recognition that repetitive process control theory can also be used to solve problems in other areas, to the stage where experimental verification is available to support the theory. This paper gives a reflective overview of the progress achieved in the underlying systems theory and in a companion paper the application of this theory is described together with a discussion of possible future developments.
Real objects in general are fractional-order (FO) systems, although in some types of systems the order is very close to integer order (IO). Since major advances have been made in the theory and practice of the identif...
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Real objects in general are fractional-order (FO) systems, although in some types of systems the order is very close to integer order (IO). Since major advances have been made in the theory and practice of the identification of FO controlled objects and in the design of FO controllers, it is possible to consider also the real order of the dynamical systems and consider more quality criterion while designing the FO controllers with more degrees of freedom compared to their IO counterparts. In this paper, we present an application of the retuning method to design and apply new FO controller for the existing laboratory feedback control system with no modifications in the internal architecture of the original feedback control system. Along with the mathematical description, presented are also simulation results.
Distributed algorithms for average consensus in directed graphs are typically asymptotic in the literature. In this work, we propose a protocol to distributively reach average consensus in a finite number of steps on ...
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ISBN:
(纸本)9781467357159
Distributed algorithms for average consensus in directed graphs are typically asymptotic in the literature. In this work, we propose a protocol to distributively reach average consensus in a finite number of steps on interconnection topologies that form strongly connected directed graphs (digraphs). The average consensus value can be computed, based exclusively on local observations at each component, by running a protocol that requires each component to observe and store its own value over a finite and minimal number of steps, and to have knowledge of the number of its out-going links (i.e., the number of components to which it sends information). The proposed algorithm is demonstrated via illustrative examples.
Many systems compete the same finite duration task over and over again, where once each is complete the system resets to the starting location and the next one begins. Each execution is known as a trial and the durati...
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ISBN:
(纸本)9781479901777
Many systems compete the same finite duration task over and over again, where once each is complete the system resets to the starting location and the next one begins. Each execution is known as a trial and the duration the trial length. Iterative learning control has been developed for such systems where the distinguishing feature is the use of information from previous trials to update the control signal applied on the next one. The new contributions in this paper are for algorithms that use a feedforward filter often termed the learning filter. A condition for existence of this filter is formulated in terms of linear matrix inequalities through application of the generalized Kalman-Yakubovich-Popov lemma. This allows filter design over a finite, as opposed to the complete, frequency range which is more practically relevant in many cases. An extension to systems with uncertainties represented by a polytopic description is also developed using parameter dependent Lyapunov functions.
In this paper we study state-space realizations of Linear and Time-Invariant (LTI) systems. Motivated by biochemical reaction networks, Gonçalves and Warnick have recently introduced the notion of a Dynamical Str...
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In this paper we study state-space realizations of Linear and Time-Invariant (LTI) systems. Motivated by biochemical reaction networks, Gonçalves and Warnick have recently introduced the notion of a Dynamical Structure Functions (DSF), a particular factorization of the system's transfer function matrix that elucidates the interconnection structure in dependencies between manifest variables. We build onto this work by showing an intrinsic connection between a DSF and certain sparse left coprime factorizations. By establishing this link, we provide an interesting systems theoretic interpretation of sparsity patterns of coprime factors. In particular we show how the sparsity of these coprime factors allows for a given LTI system to be implemented as a network of LTI sub-systems. We examine possible applications in distributed control such as the design of a LTI controller that can be implemented over a network with a pre-specified topology.
This paper deals with exponential stability of some classes of integral delay systems with a prescribed decay rate. By carefully exploring the literature on this topic, a delay decomposition approach is established to...
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ISBN:
(纸本)9781479901777
This paper deals with exponential stability of some classes of integral delay systems with a prescribed decay rate. By carefully exploring the literature on this topic, a delay decomposition approach is established to reduce the conservatism in the existing sufficient conditions by constructing new Lyapunov-Krasovskii functionals. It is proven that the proposed sufficient conditions are always less conservative than the existing ones. Numerical examples illustrate the effectiveness of the proposed approaches.
Current-transfer phase-control breaking is one method of paralleled breaking. This method can make up for shortcoming of sole chamber with high rated current and high rated short-current breaking current at the same t...
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Current-transfer phase-control breaking is one method of paralleled breaking. This method can make up for shortcoming of sole chamber with high rated current and high rated short-current breaking current at the same time. In addition to breaker stationary open time and computing speed of controller, the key influence factor is that controller needs accurately to compute the current-transfer time and current zero appearing moment. It will influence the best triggering moment determination of breaker driving actuator. This paper constructs its mathematical model of current transfer process. By the theory modeling with Matlab, this paper analyzes the influencing factors to current-transfer time and current zero appearing moment. From simulation procedure and result, dc component of short-circuit current and short-circuit current phase angle of contact separating moment of first open chamber, impedance parameter of paralleled circuit and arc voltage of first open chamber after contact separating both influence the current process and current zero. After breaker structure and chamber parameters are fixed, most important matter is that short-circuit current phase angle of contact separating moment of first open chamber needs to be determined accurately.
System reconfiguration is often the only means of preserving the continuity of business-critical services after a successful penetration attack. When a fragment of the system has to be isolated (to prevent escalation ...
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ISBN:
(纸本)9781612082097
System reconfiguration is often the only means of preserving the continuity of business-critical services after a successful penetration attack. When a fragment of the system has to be isolated (to prevent escalation of damages caused by the incident), then the other system components need to take over the functions normally performed by the affected servers. The paper addresses a specific aspect of this reconfiguration - the need to predict its impact on the availability of the services. It proposes an efficient approach, based on network simulation, for assessing the response times of services after reconfiguration. This takes into consideration the identified resource consumption interactions between the co-located services. All the presented simulation results are verified on testbed installations. The accuracy of the simulation method allows prediction of the risk of system overloading as an effect of reconfiguration.
This paper uses the Kalman-Yakubovich-Popov lemma to develop new stability tests for differential linear repetitive processes. The control systems theory for these processes have a number of applications areas and the...
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ISBN:
(纸本)9781467357159
This paper uses the Kalman-Yakubovich-Popov lemma to develop new stability tests for differential linear repetitive processes. The control systems theory for these processes have a number of applications areas and the new results in this paper also extend to the design of control laws. In comparison to currently available alternatives, these new tests offer the potential of reduced conservativeness by allowing the use of a Lyapunov matrix with piecewise constant entries as opposed to current algorithms where the Lyapunov matrix has constant entries. For control law design, linear matrix inequality formulations are developed that also extend to the practically relevant case where frequency attenuation is not enforced over the complete spectrum.
Object tracking algorithm based on Meanshift algorithm with fixed kernel bandwidth does not realize object tracking correctly with the scale of object changed. According to this, a scheme of kernel bandwidth adaptive ...
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Object tracking algorithm based on Meanshift algorithm with fixed kernel bandwidth does not realize object tracking correctly with the scale of object changed. According to this, a scheme of kernel bandwidth adaptive adjustment and predictions of object cancroids based on Kalman filter is proposed in this paper. In this algorithm, Object location predicted based on Kalman filter is used to initialize the Meanshift algorithm. The variation tendency of the kernel bandwidth is also determined based on Kalman filter. Experiment results demonstrate that this algorithm can realize the kernel bandwidth adaptive adjustment and object location prediction. The robustness of the tracking algorithm is also enhanced.
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