Progress in System and Robot Analysis and Control Design [Paperback]

The fields of control and robotics are now at an advanced level of maturity both in theory and practice. Numerous systems are used effectively in industrial production and other sectors of modern life. This volume contains a well-balanced collection of over fifty papers focusing on analysis and design problems. The current trends and advances in the fields are reflected. Topics covered include: system analysis, identification and stability optimal, adaptive, robust and QFT controller design design and application of driving simulators industrial robots and telemanipulators mobile, service, and legged robots virtual reality in robotics The book brings together important original results derived from a variety of academic and engineering environments. Also, it serves as a timely reference volume for the researcher and practitioner.Weakly positive continuous-time linear systems.- Harmonic analysis of linear sampled-data systems.- Singular value properties of the discrete-time LQ optimal regulator.- Identification of non-minimum phase finite impulse response systems using the fourth-order cumulants.- A robust frequency domain identification method revisited: Application in steel casting.- Fault detection in flight control systems via innovation sequence of kalman filter.- Analysis of properties of multitime-scale systems in 2D approach.- Bridging the gap.- Control system design using global optimization techniques.- An optimal model-following problem for linear systems.- Optimal control of time-varying dynamic systems.- Response optimization of a discrete-time bang-bang optimal control problem.- Adaptive LQ optimal autopilots for tankers based on two-point multirate controllers.- Design of adaptive LQ optimal trackers based on multirate sampling of the plant output.- Control of an automaton using uncertain information.- Learning processes and logic-algebraic method in knowledge-based control systems.- A practical approach to motion control for varying inertia systems.- lÈ