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The paper presents two recently developed, MATLAB-based analysis tools for real-time control systems. The first tool, called JITTERBUG, is used to compute a performance criterion for a control loop under various timing conditions. The tool makes it easy to quickly judge how sensitive a controller is to implementation effects such as slow sampling, delays,(More)
—This note considers offline optimization of a switching sequence for a given finite set of linear control systems, together with joint optimization of control laws. A linear quadratic full information criterion is optimized and dynamic programming is used to find an optimal switching sequence and control law. The main result is a method for efficient(More)
The article presents two MATLAB-based tools for analysis and simulation of real-time control systems: JITTERBUG and TRUETIME. JITTERBUG allows the user to compute a quadratic performance criterion for a linear control system under various timing conditions. The control system is described using a number of continuous-and discrete-time linear systems. A(More)
Based on recent advances in control theory, we propose the notion of jitter margin for periodic control tasks. The jitter margin is defined as a function of the amount of constant delay in the control loop, and it describes how much additional time-varying delay can be tolerated before the loop goes unstable. Combined with scheduling theory, the jitter(More)
Long-term memory motion-compensated prediction extends the spatial displacement utilized in block-based hybrid video coding by a frame reference parameter permitting the use of decoded frames of some seconds accommodated in a sliding window over time. This extension of the motion search range signiicantly increases the motion-compensated prediction gain.(More)