A unified, systematic controller design procedure is introduced for the class of linear time invariant systems with use both continuous and bang-bang control effectors. The sampled-data regulator weighting matrices and cost function are extended to this class of system, and modulates the bangbang effector to achieve desired performance levels. Controller synthesis is illustrated for a generic s...

The past decade has seen a variety of operating modifications for Simulated Moving Bed (SMB) processes, including Three-Zone, VARICOL, and PowerFeed. In recent studies, we have shown that these can all be embedded within a superstructure optimization problem with timevariant flow rates. Moreover, the resulting dynamic optimization problem has yielded a number of interesting and useful insights ...

Near-minimum-time control of flexible manipulators can be accomplished by designing a controller that tracks a reference maneuver. The control method presented here uses a near-minimum-time rigid-link reference maneuver to generate reference control torques and a Liapunov controller to make the flexible manipulator track the reference maneuver while reducing and eventually eliminating flexible ...

Point-to-point fast hand movements, often referred to as ballistic movements, are a class of movements characterized by straight paths and bell-shaped velocity profiles. In this paper we propose a bang-bang optimal control policy that can achieve such movements. This optimal control policy is accomplished by minimizing the L∞ norm of the jerk profile of ballistic movements with known initial po...

In this paper, a fuzzy-neuro approach will be presented for the design of bang-bang control system. A description of the architecture will be given. The multi-layered structure of the controller is essentially a neural network which resembles a fuzzy rule-based system. The robustness issue of an application to a heating system will also be described.