Emmanuel Fernandez

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— To analyze the robustness of adaptive control system, stability analysis of the closed-loop system and convergence analysis of parameters are two issues of most importance. In this paper, we study the convergence properties for the reduced-order adaptive control system achieved in [1], where we established the stability properties for the closed-loop(More)
— Algorithms for the autonomous decision and control of unmanned aerial vehicles (UAV's) require access to accurate information about the state of the environment in order to perform well. However, this information is oftentimes uncertain and dynamically changing. An efficient method to store and retrieve this information in such circumstances is provided(More)
SUMMARY In this paper, we present robust adaptive controller design for SISO linear systems with zero relative degree under noisy output measurements. We formulate the robust adaptive control problem as a nonlinear H ∞-optimal control problem under imperfect state measurements, and then solve it using game theory. By using the a priori knowledge of the(More)
— This paper presents initial results of a research study in the optimal scheduling (i.e., job sequencing) in Reen-trant Manufacturing Lines (RML), motivated by applications in semiconductor manufacturing. In particular, a simple benchmark RML is utilized, and the optimal scheduling policy is analyzed for an infinite horizon discounted cost problem(More)
— This paper presents the application of an approximate dynamic programming (ADP) algorithm to the problem of job releasing and sequencing of a benchmark reentrant manufacturing line (RML). The ADP approach is based on the SARSA(λ) algorithm with linear approximation structures that are tuned through a gradient-descent approach. The optimization is(More)
2123 gorithm, and with an overall computation time of less than 10 s, the value of min = 0:729 is obtained with the following controller: K 2 (z) = 0:802(z 0 0:6347)(z 0 0:1887) (z 0 1)(z + 1:156) : (17) V. CONCLUSIONS A new convex parameterization of all H 1 stabilizing controllers for SISO-LTI systems is given based on a new concept of Common Lya-punov(More)
This paper presents the application of a framework, proposed by the National Institute of Standards and Technology (NIST), for standard modular simulation in semiconductor wafer fabrication facilities (<i>fabs</i>). The application of the proposed framework resulted in the identification and specification of four different elements in the context of(More)
Comprehensive inventories of plant viral diversity are essential for effective quarantine and sanitation efforts. The safety of regulated plant material exchanges presently relies heavily on techniques such as PCR or nucleic acid hybridisation, which are only suited to the detection and characterisation of specific, well characterised pathogens. Here, we(More)
This paper presents the application of a reinforcement learning (RL) approach for the near-optimal control of a re-entrant line manufacturing (RLM) model. The RL approach utilizes an algorithm based on a gradient-descent TD(lambda) method to obtain both estimates of the optimal cost function and the control actions. Numerical experiments demonstrated the(More)
— This paper presents initial results on the application of a simulation-based Approximate Dynamic Programming (ADP) approach for the optimization of Preventive Maintenance (PM) scheduling decisions in semiconductor manufacturing systems. In particular, the so-called Intel Mini-Fab benchmark is used as an illustrative example. Our approach is based on an(More)