2007
DOI: 10.1002/aic.11100
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Fault‐tolerant control of nonlinear process systems subject to sensor faults

Abstract: in Wiley InterScience (www.interscience.wiley.com).The problem of control of nonlinear process systems subject to input constraints and sensor faults (complete failure or intermittent unavailability of measurements) is considered. A fault-tolerant controller is designed that utilizes reconfiguration (switching to an alternate control configuration) in a way that accounts for the process nonlinearity, the presence of constraints and the occurrence of sensor faults. To clearly illustrate the importance of accoun… Show more

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Cited by 77 publications
(45 citation statements)
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“…Using Schur complement, [17] we can show that (7) is equivalent to  (13) which are compatible with that ofà defined in (4). Define…”
Section: State Estimator Designmentioning
confidence: 68%
“…Using Schur complement, [17] we can show that (7) is equivalent to  (13) which are compatible with that ofà defined in (4). Define…”
Section: State Estimator Designmentioning
confidence: 68%
“…In general, the existing active FTC system design methods can be categorized based on the following approaches: the control-loop reconfiguration while accounting for input constraints as well as the presence of uncertainty for general nonlinear systems [1,2]; model predictive control [3]; the linear quadratic regulator (LQR) [4]; the eigenstructure assignment [5]; the multiple model [6,7]; adaptive control [6,[8][9][10]; pseudo-inverse [11]; model following [12] and neural networks [13]. Some of these methods include a strategy involving a fast subsystem for fault detection and isolation and a supervisory system that chooses the corresponding controller for a particular type of fault.…”
Section: Introductionmentioning
confidence: 99%
“…The design of sensor networks from a fault diagnosis perspective was considered in Rengaswamy (2002a, 2002b). Increasingly, control researchers are also considering sensor related issues such as sensor failures while developing fault tolerant control strategies (Nael, El-Farra, & Christofides, 2005;Prakash, Narasimhan, & Patwardhan, 2005;Mhaskar, Gani, McFall, Christofides, & Davis, 2007). Other recent developments include a rigorous methodology based on the use of cutsets (Gala & Bagajewicz, 2006a, 2006b) and use of Constraint programming (CP) to solve some of the sensor network problems (Kotecha, Bhushan, & Gudi, 2007a linearly scaled failure rate for ith sensor * ,ˆ U * optimal network failure rates for the nominal and maximum failure rate scenario U i maximum failure rate for the ith uncertain sensor i parameter relating the failure rate of ith variable to the failure rate of its sensor…”
Section: Introductionmentioning
confidence: 99%