Abstract : In this paper, the design of interval observers for the estimation of biomass concentrations in complex biotechnological systems (interconnected biological systems) is described. In particular, the design of such observers for tanks in cascade (including a recirculation) is considered. The design procedure as well as a sufficient condition for the stability of the observer are establ...

Abstract: A robust/adaptive stochastic observer is presented for stochastic nonlinear dynamics having excessive uncertainties. It was shown through a new theorem that the proposed nonlinear robust sliding mode observer has very accurate state estimate error characteristic. The observer uses the sliding mode technique for the robustness and a deterministic adaptive law to guarantees a globally a...

Recently, the author has proposed a methodology for the design of nonlinear observers based on the dissipative theory. This methodology offers a systematic approach to the observer design providing great flexibility and generality. For example, several well known observer design methods, as the High-Gain and the Lipschitz Observers, can be treated and generalized in a unified manner by the Diss...

This paper proposes a sensor-less robust force control method for improving the control performance of an electro-mechanical brake (EMB) which is applicable to commercial city buses. The EMB generates the accurate clamping force commanded by a driver through an independent motor control at each wheel instead of using existing mechanical components. In general, an EMB undergoes parameter variati...

This paper deals with state estimation of micro tunable capacitor subjected to nonlinear electrostatic force. For this end a nonlinear observer has been designed for state estimation of the structure.  Necessary and sufficient conditions for construction of the observer are presented. Stability of the observer is checked using Lyapunov theorem. Observer design is based on converting of differen...

Classical sliding mode design approaches assume the transfer function matrix between the driving signal and the measured output of interest must be minimum phase and relative degree one. For the control case, the driving signal will be the control input and for the observer problem the driving signal is likely to be an unknown input which the observer seeks to reconstruct. This chapter demonstr...

Adaptive Robust Control (ARC) is a synergistic combination of adaptive control and deterministic robust control (DRC). It provides a robust performance with predictable transients while avoiding chattering typical in DRC. Antiintegration windup mechanism is built in the ARC and thus the problem of control saturation is alleviated. In this paper, ARC is applied to the motion control of machine t...

control of production processes in an industrial environment needs the correct setting of input factors, so that output products with desirable characteristics will be resulted at minimum cost. moreover, such systems havetomeetset of qualitycharacteristicstosatisfycustomer requirements.identifyingthemosteffectivefactorsindesignoftheprocesswhichsupportcontinuousandcontinualimprovement isrecently...