This paper originally proposes an optimal control system which consists of both feedforward and statefeedback controllers using a generalized linear quadratic Gaussian and loop transfer recovery (GLQG/LTR) method. The control objective is focused on the regulatory performances of output vector in response to a desired stack current command in face of load variation. The proposed method provides...

This paper proposes a principle of one-to-one correspondence in performance evaluation of a general class of detection and recognition algorithms. Such a correspondence between ground-truth entities and algorithm declared entities is essential in accurately computing objective performance measures such as the detection, recognition, and false alarm rates. We mathematically de ne the corresponde...

This paper deals with adaptive output tracking of a transverse flux permanent magnet machine as a nonlinear system with unknown nonlinearities by utilizing Takagi-Sugeno type neuro-fuzzy networks. The technique of feedback linearization and H control are used to design an adaptive control law for compensating the unknown nonlinear parts, such the effect of cogging torque, as a disturbance on th...

In this work we develop a method to perform simultaneous design and tolerance allocation for engineering problems with multiple objectives. Most studies in existing literature focus on either optimal design with constant tolerances or the optimal tolerance allocation for a given design setup. Simultaneously performing both design and tolerance allocation with multiple objectives for hierarchica...

This paper examines the performances of the past five Federal Reserve chairmen using optimal control techniques and a macroeconometric model. Each chairman is evaluated in two ways. The first way is comparing the actual performance of the economy under his term relative to what the performance would have been had he behaved optimally. Comparing chairmen only on the basis of the actual performan...

in this paper, we consider a flow shop scheduling problem with availability constraints (fsspac) for the objective of minimizing the makespan. in such a problem, machines are not continuously available for processing jobs due to preventive maintenance activities. we proposed a mixed-integer linear programming (milp) model for this problem which can generate non-permutation schedules. furthermor...

As described in Part I, the supermarket simulation software “SuperSim” with its integrated refrigeration, building and HVAC system models, can be used to evaluate, compare and optimize alternative supermarket refrigeration systems. In Part II the model was used to evaluate and compare the performance of a CO2 booster refrigeration system with that of a conventional R404A multiplex system in a s...

The paper investigates the optimal control problem for a stochastic linear di®erential system, driven by a persistent disturbance generated by a nonlinear stochastic exogenous system. The assumption of incomplete information has been assumed, that is neither the state of the system, nor the state of the exosystem are directly measurable. The standard quadratic cost functional has been considere...

It is known that Hough Transform computation can be signiicantly accelerated by polling instead of voting. A small part of the data set is selected at random and used as input to the algorithm. The performance of these Proba-bilistic Hough Transforms depends on the poll size. Most Probabilistic Hough algorithms use a xed poll size, which is far from optimal since conservative design requires th...

Abstract-This paper suggests an inverse optimal PID control design method for mechanical manipulators. We find the Lyapunov function and the control law satisfying the disturbance input-to-state stability by using the characteristics of Lagrange system. Also, we show that the inverse optimal PID controller satisfies the HamiltonJacobi-Isaacs equation. Hence, the inverse optimality of the closed...