title: Design of fast state observers using a backstepping-like approach with application to synchronization of chaotic systems.
abstract: A simple technique is introduced to build fast state observers for chaotic systems when only a scalar time series of the output is available. This technique relies on using a backstepping-like approach via introducing new virtual states that can be observed using the drive-response synchronization mechanism. The proposed dynamic structure of the virtual states allows for employing control parameters that can adjust the convergence rate of the observed states. In addition, these control parameters can be used to improve the transient performance of the response system to accommodate small and large variations of the initial conditions, thus achieving superior performance to conventional synchronization techniques. Simple Lyapunov functions are used to estimate the range of the control parameters that guarantees stable operation of the proposed technique. Three benchmark chaotic systems are considered for illustration; namely, the Lorenz, Chua, and Rossler systems. The conflict between stability and agility of the states observer is analyzed and a simple tuning mechanism is introduced. Implementation of the proposed technique in both analog and digital forms is also addressed and experimental results are reported ensuring feasibility and real-time applicability. Finally, advantages and limitations are discussed and a comparison with conventional synchronization methods is investigated.
authors.affiliation: Physics Department, Science College, Kuwait University, P.O. Box 5969, Safat 13060, Kuwait.
authors.forename: Ashraf A
authors.initials: AA
authors.lastname: Zaher
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D004867:Equipment Design; D008962:Models, Theoretical; D017711:Nonlinear Dynamics; D009991:Oscillometry / Q000295:instrumentation / Q000379:methods*; D010825:Physics / Q000379:methods; D012815:Signal Processing, Computer-Assisted; D012984:Software; D013598:Systems Theory