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17
Survivability through implementation alternatives in largescale information networks with finite load
 in Proc. Open Cougaar Conference
, 2004
"... We study a largescale information network, which is composed of distributed software components linked with each other through a task flow structure. The service provided by the network is to produce a global solution to a given problem, which is an aggregate solution of partial solutions from proc ..."
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We study a largescale information network, which is composed of distributed software components linked with each other through a task flow structure. The service provided by the network is to produce a global solution to a given problem, which is an aggregate solution of partial solutions from processing tasks. Quality of Service of this network is determined by the value of the global solution and time for generating the global solution. Survivability of the network is the capability to provide high Quality of Service by utilizing implementation alternatives as control actions, in the presence of accidental failures and malicious attacks. In this paper we develop an adaptive control mechanism to support survivability. We stress two desirable properties in designing the mechanism: scalability and predictability. To address adaptivity we model the stress environment indirectly by quantifying resource availability of the system. We build a mathematical programming model with the resource availability incorporated, which predicts Quality of Service as a function of control actions. By periodically solving the programming model and taking optimal control actions with recent resource availability, the system can be adaptive to the changing stress environment predictably. But, as the programming model becomes largescale and complex, we agentify the components of the network from a control point of view so that the system can solve the largescale programming model in a decentralized mode. We provide an auctionbased market as a decentralized coordination mechanism.
Control of Snack Food Manufacturing Systems Potato chips and microchips are more similar than commonly believed
"... The 1995 Ig Nobel Prize in Physics [1], a highly popular spoof of its true counterpart, ..."
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The 1995 Ig Nobel Prize in Physics [1], a highly popular spoof of its true counterpart,
Numerical Methods for Model Predictive Control
, 2008
"... www.imm.dtu.dk This thesis presents two numerical methods for the solutions of the unconstrained optimal control problem in model predictive control (MPC). The two methods are Control Vector Parameterization (CVP) and Dynamic Programming (DP). This thesis also presents a structured InteriorPoint ..."
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www.imm.dtu.dk This thesis presents two numerical methods for the solutions of the unconstrained optimal control problem in model predictive control (MPC). The two methods are Control Vector Parameterization (CVP) and Dynamic Programming (DP). This thesis also presents a structured InteriorPoint method for the solution of the constrained optimal control problem arising from CVP. CVP formulates the unconstrained optimal control problem as a dense QP problem by eliminating the states. In DP, the unconstrained optimal control problem is formulated as an extended optimal control problem. The extended optimal control problem is solved by DP. The constrained optimal control problem is formulated into an inequality constrained QP. Based on Mehrotra’s predictorcorrector method, the QP is solved by the InteriorPoint method. Each method discussed in this thesis is implemented in Matlab. The Matlab simulations verify the theoretical analysis of the computational time for the
State constrained tracking control for nonlinear systems
"... Abstract This work addresses the model reference tracking control problem. It aims to highlight the encountered difficulties and the proposed solutions to achieve the tracking objective. Based on a literature overview of linear and nonlinear reference tracking, the achievements and the limitations ..."
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Abstract This work addresses the model reference tracking control problem. It aims to highlight the encountered difficulties and the proposed solutions to achieve the tracking objective. Based on a literature overview of linear and nonlinear reference tracking, the achievements and the limitations of the existing strategies are highlighted. This motivates the present work to propose clear control algorithms for perfect and approximate tracking controls of nonlinear systems described by TakagiSugeno models. First, perfect nonlinear tracking control is addressed and necessary structural conditions are stated. If these conditions do not hold, approximate tracking control is proposed and the choice of the reference model to be tracked as well as the choice of the criterion to be minimized are discussed with respect to the desired objectives. The case of constrained control input is also considered in order to anticipate and counteract the effect of the control saturation.
NONLINEAR ESTIMATION AND CONTROL WITH APPLICATION TO UPSTREAM PROCESSES
, 2015
"... Subsea development and production of hydrocarbons is challenging due to remote and harsh conditions. Recent technology development with high speed communication to subsea and downhole equipment has created a new opportunity to both monitor and control abnormal or undesirable events with a proactive ..."
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Subsea development and production of hydrocarbons is challenging due to remote and harsh conditions. Recent technology development with high speed communication to subsea and downhole equipment has created a new opportunity to both monitor and control abnormal or undesirable events with a proactive and preventative approach rather than a reactive approach. Two specific technology developments are high speed, longdistance fiber optic sensing for production and completion systems and wired pipe for drilling communications. Both of these communication systems offer unprecedented high speed and accurate sensing of equipment and processes that are susceptible to uncontrolled well situations, leaks, issues with flow assurance, structural integrity, and platform stability, as well as other critical monitoring and control issues. The scope of this dissertation is to design monitoring and control systems with new theoretical developments and practical applications. For estimators, a novel `1norm method is proposed that is less sensitive to data with outliers, noise, and drift in recovering the true value of unmeasured parameters. For controllers, a similar `1norm strategy is used to design optimal control strategies that utilize a comprehensive design with multivariate control and nonlinear dynamic optimization. A framework for solving large scale dynamic optimization problems with differential and algebraic equations is de
Planning for Welfare to Work
"... We are interested in building decisionsupport software for social welfare case managers. Our model in the form of a factored Markov decision process is so complex that a standard factored MDP solver was unable to solve it efficiently. We discuss factors contributing to the complexity of the model, ..."
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We are interested in building decisionsupport software for social welfare case managers. Our model in the form of a factored Markov decision process is so complex that a standard factored MDP solver was unable to solve it efficiently. We discuss factors contributing to the complexity of the model, then present a receding horizon planner that offers a rough policy quickly. Our planner computes locally, both in the sense of only offering one action suggestion at a time (rather than a complete policy) and because it starts from an initial state and considers only states reachable from there in its calculations.
Improving Stability of Rotor using Model Predictive Controller
"... ABSTRACT: This paper proposes an approach to improve stability and active control of rotor vibration by the use of Model Predictive controller. Rotor vibrations in electrical machines are dampen out by model predictive control algorithm. The controlled system is the one dimensional Jeffcottrotor. M ..."
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ABSTRACT: This paper proposes an approach to improve stability and active control of rotor vibration by the use of Model Predictive controller. Rotor vibrations in electrical machines are dampen out by model predictive control algorithm. The controlled system is the one dimensional Jeffcottrotor. Model predictive control algorithm was designed, and the simulation results were obtained by Mat lab software tools. Model Predictive Control (MPC) refers to a class of algorithms that compute a sequence of manipulated variable adjustments in order to optimize the future behavior of a plant.
PG Scholar, control system,
"... The aim of this paper is to study the application of model predictive controller for improving stability of rotor and rotor vibration. Rotor vibrations in electrical machines are dampen out by model predictive control algorithm. The controlled system is the one dimensional Jeffcottrotor. Model pred ..."
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The aim of this paper is to study the application of model predictive controller for improving stability of rotor and rotor vibration. Rotor vibrations in electrical machines are dampen out by model predictive control algorithm. The controlled system is the one dimensional Jeffcottrotor. Model predictive control algorithm was designed, and the simulation results were obtained by Mat lab software tools. Model Predictive Control (MPC) refers to a class of algorithms that compute a sequence of manipulated variable adjustments in order to optimize the future behavior of a plant. In this paper the controlled output of rotor by MPC is further compared with output of same rotor with PID controller. characterized by a physical model, and the aim is to control the response of Jeffcottrotor by constructing a controller that generates control signals that in turn generate the desired output subject to given constraints. Predictive control tries to predict, what would happen to the rotor output for a given control signal. In this way, we know in advance, what effect the control will have, and by this knowledge the best possible control signal is chosen. What is the best possible outcome depends on the given Plant (rotor) and situation, but the general idea is the same Keywords active control of rotor vibration, model predictive control, rotor, PID controller. 1.