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A software development process modeling framework is constructed under the formalism of state modeling. The approach interconnects instances of a general development-activity model into a composite system. Simulation results are presented, and implications for control-theoretic decision support are briefly discussed.
Optimal control of robotic systems with logical constraints is an instance of a hybrid optimal control problem. It has been traditionally treated as a mixed-integer programming problem (MIP) which is of combinatorial complexity. This paper proposes a new approach for transforming logical constraints into inequality and equality constraints involving only continuous variables. In this way the hybrid...
This paper studies the problem of stabilizing wheeled mobile robots (WMRs) subject to wheel slippage to a predefined set. When slippage of the wheels can occur, WMRs can be modeled as hybrid systems. Model predictive control for such systems typically results in numerical methods of combinatorial complexity. We show that recently developed embedding techniques can be used to formulate numerical algorithms...
A procedure for estimating the alcohol infusion profile required to produce a specific breath alcohol concentration (BrAC) time course using a PBPK model is described. Model parameter values are predicted from linear relationships to readily measurable physical characteristics or morphometrics. An algorithm to optimize this transformation, based upon recorded clinical experimental data, is provided...
In this paper we discuss a feasible solution to the hybrid optimal switching problem, where the measurement and feedback signals are communicated via a network and undergo a constant delay. We utilize the concept of model prediction to compensate for the induced delay and periodic update of state measurements. A bound on the resulting estimation error is provided, and an example is provided to illustrate...
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