This work describes a practical real-time on-line application: the control of the electron and positron beams of the Stanford Linear Accelerator. It also offers examples and simulations concerned with noise control.

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Adaptive inverse control is a novel approach to the design of control systems and regulators. This book takes a "signal processing approach" to adaptive control as used in a natural way to provide model-reference control for a wide variety of plant types. Details examples of how adaptive inverse control can be use to control plants that are unstable as well as stable, nonminimum-phase as well as minimum-phase, nonlinear as well as linear, multiple-input multiple-output (MIMO) as well as single-input single-output (SISO). For control engineers and signal processing engineers.

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