作者：
He, ShupingLiu, FeiAnhui Univ
Coll Elect Engn & Automat Hefei 230601 Peoples R China Jiangnan Univ
Inst Automat Key Lab Adv Proc Control Light Ind Minist Educ Wuxi 214122 Peoples R China
This paper studies the optimal finite-time passive control problem for a class of uncertain nonlinear Markovian jumping systems (MJSs). The Takagi and Sugeno (T-S) fuzzy model is employed to represent the nonlinear sy...
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This paper studies the optimal finite-time passive control problem for a class of uncertain nonlinear Markovian jumping systems (MJSs). The Takagi and Sugeno (T-S) fuzzy model is employed to represent the nonlinear system with Markovian jump parameters and norm-bounded uncertainties. By selecting an appropriate Lyapunov-Krasovskii functional, it gives a sufficient condition for the existence of finite-time passive controller such that the uncertain nonlinear MJSs is stochastically finite-time bounded for all admissible uncertainties and satisfies the given passive control index in a finite time-interval. The sufficient condition on the existence of optimal finite-time fuzzy passive controller is formulated in the form of linear matrix inequalities and the designed algorithm is described as an optimization one. A numerical example is given at last to illustrate the effectiveness of the proposed design approach. (C) 2013 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
The paper presents an integrated procedure, called MCS, for the automated synthesis of microprogrammed controllers in digital systems at the register-transfer (RT) level. To MCS there are two major inputs: a descripti...
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The paper presents an integrated procedure, called MCS, for the automated synthesis of microprogrammed controllers in digital systems at the register-transfer (RT) level. To MCS there are two major inputs: a description of the data path of the digital system and a behavioural description of the digital system at the RT level. The result given by MCS is a cost effective controller which can drive the operations of the data path. MCS works in seven major steps: (a) Defining an initial basic controller model; (b) generating sequences of control signals; (c) manipulating control-flow statements; (d) compacting parallel operations; (e) determining the lower bound of control word width; (f) determining the control word format; (g) encoding the control memory. The algorithms that MCS uses in carrying out these steps are described. The paper also describes two experiments in which the MCS is used to synthesise the controllers of two small hypothetical CPUs.
In this paper, a new memory-based control problem is addressed for neutral systems with time-varying delay, input saturations and energy bounded disturbances. Attention is focused on the de-sign of a memory-based stat...
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In this paper, a new memory-based control problem is addressed for neutral systems with time-varying delay, input saturations and energy bounded disturbances. Attention is focused on the de-sign of a memory-based state feedback controller such that the closed-loop system achieves the de-sirable performance indices including the boundedness of the state trajectories, the H-infinity disturbance rejection/attenuation level as well as the asymptotic stability. By using the combination of a novel delay-dependent polytopic approach, augmented Lyapunov-Krasovskii functionals and some integral in-equalities, delay-dependent sufficient conditions are first proposed in terms of linear matrix inequalities. Then, three convex optimization problems are formulated whose aims are to, respectively, maximize the disturbance tolerance level, minimize the disturbance attenuation level and maximize the initial condition set. Finally, simulation examples demonstrate the effectiveness and benefits of the obtained results. (C) 2017 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
Software-defined networking separates the control and forwarding planes of a network to make it more programmable and application-aware. As one of the initial implementations of SDN, OpenFlow abstracts a forwarding de...
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Software-defined networking separates the control and forwarding planes of a network to make it more programmable and application-aware. As one of the initial implementations of SDN, OpenFlow abstracts a forwarding device as a flow table and realizes flow processing by applying the "match-and-act" principle. However, the protocol-dependent nature of OpenFlow still limits the programmability of the forwarding plane. Hence, in this article, we discuss how to leverage protocol-oblivious forwarding (POF) to further enhance the network programmability such that the forwarding plane becomes protocol-independent and can be dynamically reprogrammed to support new protocol stacks seamlessly. We first review the development of OpenFlow and explain the motivations for introducing POF. Then we explain the working principle of POF, discuss our efforts on realizing the POF development ecosystem, and show our implementation of POF-based source routing as a novel use case. Finally, we elaborate on the first WAN-based POF network testbed that includes POF switches located in two cities in China.
Developing a flexible manufacturing system (FMS) controller is a complicated task both in the hardware development and software development. To test the control software prior to putting it into use is crucial for the...
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Developing a flexible manufacturing system (FMS) controller is a complicated task both in the hardware development and software development. To test the control software prior to putting it into use is crucial for the development of a FMS controller. An intelligent testing environment for FMS controllers is under development, the aim of which is to reduce manual work in the testing. To reach this objective the automatic building of a behavioural model of the FMS is demanded. This paper proposes a generic Petri net (GPN) model and approach for the development of control software for FMSs. The principle of this approach is based on checking the control parts of FMSs with the help of temporal relationships between physical operations, and the specification of the FMS controller with GPN. The strategy of GPN modelling is then incorporated with more general problem solving strategies in artificial intelligence. A template is first defined for a GPN model, and then the model for FMS individuals is established in the form of instances of the template. The transitions of the GPN are represented with the proposed general expressions with two syntaxes, 'verb + noun' and 'verb + noun + where', from which the GPN can be formulated. GPN makes it simple to express FMS controls, and procedural language can also be used for information processing. A case study for the testing of FMS controller software is provided to show effectiveness and cost saving over development with conventional methods in which only ordinary Petri net and procedural language are used.
This paper proposed a nonlinear controller for speed tracking of separately excited DC motors (SEDCM's) using the multi-input multi-output (MIMO) fuzzy logic controller (FLC's). Based on a nonlinear mathematic...
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This paper proposed a nonlinear controller for speed tracking of separately excited DC motors (SEDCM's) using the multi-input multi-output (MIMO) fuzzy logic controller (FLC's). Based on a nonlinear mathematical model of SEDCM, a FLC is designed to achieve high performance speed tracking through rejection load disturbance. Computer simulations are presented to show speed tracking performance and the effectiveness of the proposed controller. (C) 2009 Elsevier Ltd. All rights reserved.
A new visualisation technique called the "performance map" conveys a wealth of information about system dynamic behaviours that may be hidden from all but the expert analyst.
A new visualisation technique called the "performance map" conveys a wealth of information about system dynamic behaviours that may be hidden from all but the expert analyst.
One of the fundamental problems in feedback control design is the ability of the control system to maintain stability and performance in the face of system uncertainties. To this end, elegant multivariable robust cont...
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One of the fundamental problems in feedback control design is the ability of the control system to maintain stability and performance in the face of system uncertainties. To this end, elegant multivariable robust control design frameworks such as H(infinity) control, L(1) control and mu synthesis have been developed to address the robust stability and performance control problem. An implicit assumption inherent in these design frameworks is that the controller will be implemented exactly. In a recent paper by Keel and Bhattacharyya, it was shown that even though such frameworks are robust with respect to system uncertainty, they are extremely fragile with respect to errors in the controller coefficients. In this paper, we extend the robust fixed-structure controller synthesis approach to develop controllers which are robust to system uncertainties and non-fragile or resilient to controller gain variations.
The article discusses the intelligent musical fountain authoring system (Imfas) designed to assist programmers in simulating scenarios for musical fountain shows using computer graphics. It cites the features of Imfas...
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The article discusses the intelligent musical fountain authoring system (Imfas) designed to assist programmers in simulating scenarios for musical fountain shows using computer graphics. It cites the features of Imfas such as its assistance with fountain design, generation of scenarios for musical fountain shows with any music and a programmable logic controller that controls the musical-fountain hardware. Imfas' new system is said to allow more scenario changes at reduced programming costs.
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