A SIMPLE PROOF THAT n < m * p IMPLIES GENERIC EIGENVALUE ASSIGNABILITY BY REAL MEMORYLESS OUTPUT FEE - Decision and Control, 1995., Proceedings of the 34th IEEE Conference on

Generic Eigenvalue Assignment for Generalized Linear First Order Systems using Memoryless Real Outpu - Decision and Control, 1995., Proceedings of the 34th IEEE Conference on

We show in this paper that arbitrary pole assignment by memoryless feedback is generically possible in the class of generalized first order system of a fixed McMillan degree n as soon as n is strictly less than the input number times the output number. Our result generalizes results by the authors covering the situation when the set of plants consists of strictly proper transfer functions only.

Generic Eigenvalue Assignability by Real Memoryless Output Feedback Made Simple

BIOLOGICAL MOTOR CONTROL APPROACHES FOR A PLANAR DIVER - Decision and Control, 1995., Proceedings of the 34th IEEE Conference on

A human diver in the air is an example of a nonholonomic system with drift. In this paper, we present a dynamic model of the diver performing planar dives and examine a simple learning approach to the control problem. Finally, we present a proposal for a general, hierarchical, learning controller for systems with many degrees of freedom.

Stability Criteria of Discrete-Time Analog Neural Networks - Decision and Control, 1995., Proceedings of the 34th IEEE Conference on

I n this short paper, some globally asymptotical stability criteria for the equilibrium states of a class of discrete-time dynamic neural networks with continuous states and asymmetrical weight matrices are presented. The resulting stability criteria are represented by either the existence of the positive daagonal solutions of the Lyapunov equations or some inequalities. Finally, some examples ...

Almost Optimal Adaptive LQ Control: Observed State Case - Decision and Control, 1995., Proceedings of the 34th IEEE Conference on

In this paper we propose an almost optimal indirect adaptive controller for input/state dynamical systems. The control part of the adaptive scheme is based o n a modified L Q control law: by adding a time varying gain to the certainty equivalent control law we avoid the conflict between identification and control.