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Haddad,
Wassim M.
Haddad,
Wassim M.
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ItemAgitation and Pain Assessment Using Digital Imaging(Georgia Institute of Technology, 2009-09) Gholami, Behnood ; Haddad, Wassim M. ; Tannenbaum, Allen R.Pain assessment in patients who are unable to verbally communicate with medical staff is a challenging problem in patient critical care. The fundamental limitations in sedation and pain assessment in the intensive care unit (ICU) stem from subjective assessment criteria, rather than quantifiable, measurable data for ICU sedation and analgesia. This often results in poor quality and inconsistent treatment of patient agitation and pain from nurse to nurse. Recent advancements in pattern recognition techniques using a relevance vector machine algorithm can assist medical staff in assessing sedation and pain by constantly monitoring the patient and providing the clinician with quantifiable data for ICU sedation. In this paper, we show that the pain intensity assessment given by a computer classifier has a strong correlation with the pain intensity assessed by expert and non-expert human examiners.
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ItemAn energy-based thermodynamic stabilization framework for hybrid control design of large-scale aerospace systems(Georgia Institute of Technology, 2008-11-01) Haddad, Wassim M.
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ItemController Synthesis with Guaranteed Closed-Loop Phase Constraints(Georgia Institute of Technology, 2007-12) Haddad, Wassim M. ; Chellaboina, Vijay Sekhar ; Gholami, BehnoodIn this paper, we present an analysis and synthesis framework for guaranteeing that the phase of a single-input, single-output closed-loop transfer function is contained in the interval [-alpha, alpha] for a given alpha>0 at all frequencies. Specifically, we first derive a sufficient condition involving a frequency domain inequality for guaranteeing a given phase constraint. Next, we use the Kalman-Yakubovich-Popov theorem to derive an equivalent time domain condition. In the case where alpha=pi/2, we show that frequency and time domain sufficient conditions specialize to the positivity theorem. Furthermore, using linear matrix inequalities, we develop a controller synthesis framework for guaranteeing a phase constraint on the closed-loop transfer function. Finally, we extend this synthesis framework to address mixed gain and phase constraints on the closed-loop transfer function.
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ItemH₂ Suboptimal Estimation and Control for Nonnegative Dynamical Systems(Georgia Institute of Technology, 2007-07) Haddad, Wassim M. ; Chellaboina, Vijay Sekhar ; Gholami, BehnoodLinear matrix inequalities provide a powerful design framework for linear control problems. In this paper, we use linear matrix inequalities to develop H₂ (sub)optimal estimators and controllers for nonnegative dynamical systems. Specifically, we formulate a series of generalized eigenvalue problems subject to a set of linear matrix inequality constraints for designing H2 suboptimal estimators, static controllers, and dynamic controllers for nonnegative dynamical systems.
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ItemA network thermodynamic framework for the analysis and control design of large-scale dynamical systems(Georgia Institute of Technology, 2006-03-30) Haddad, Wassim M.