The problem of bounding the optimal cost of nonlinear dynamical sys-tems is studied. Conditions are given under which it is possible to upper bound the optimal performance of a nonlinear system with a quadratic cost functional by the optimal performance of a linear sys-tem with the same cost functional. Results are stated both in the fre-quency and the time domain. A sharp lower bound for the optimal performance of a linear system with quadratic penalty function is given in terms of the performance of a class of suboptimal systems. The application of this result to direct evaluation of the degree of suboptimality of a given design is studied. Two numerical examples illustrate the usefulness of the results in design procedures whe
In an earlier paper, the authors derived bounds on the worst-case deviation that the response of a n...
A numerical algorithm for computing necessary conditions for performance specifications is developed...
AbstractWe show how to obtain sharp lower bounds on the asymptotic error of algorithms for solving n...
Bibliography: p. 102-104.NASA Research Grant NGR-22-009-124. M.I.T. Project no. DSR 76265
For nonlinear systems that satisfy certain regularity conditions it is shown that upper and lower bo...
A method for computation of lower and upper bounds for the linear quadratic cost function associated...
We analyze a class of suboptimal policies for regulating the state of a switched linear system to ze...
Several interesting results are presented in determining the value of an integral performance index ...
AbstractThe maximum amplitude cost of a control function u(t) taken to be ess sup g(t, u(t)), where ...
Physical systems are often perturbed by unknown external disturbances or contain important system pa...
We study linear dynamical systems with a quadratic criterion. We prove that the minimum of a criteri...
The use of piecewise quadratic cost functions is extended from stability analysis of piecewise linea...
The investigation is concerned with the problems of optimal observation of dynamic systems with the ...
The mathematical technique of dynamic programming may be used to determine the control function whic...
Abstract—The use of piecewise quadratic cost functions is ex-tended from stability analysis of piece...
In an earlier paper, the authors derived bounds on the worst-case deviation that the response of a n...
A numerical algorithm for computing necessary conditions for performance specifications is developed...
AbstractWe show how to obtain sharp lower bounds on the asymptotic error of algorithms for solving n...
Bibliography: p. 102-104.NASA Research Grant NGR-22-009-124. M.I.T. Project no. DSR 76265
For nonlinear systems that satisfy certain regularity conditions it is shown that upper and lower bo...
A method for computation of lower and upper bounds for the linear quadratic cost function associated...
We analyze a class of suboptimal policies for regulating the state of a switched linear system to ze...
Several interesting results are presented in determining the value of an integral performance index ...
AbstractThe maximum amplitude cost of a control function u(t) taken to be ess sup g(t, u(t)), where ...
Physical systems are often perturbed by unknown external disturbances or contain important system pa...
We study linear dynamical systems with a quadratic criterion. We prove that the minimum of a criteri...
The use of piecewise quadratic cost functions is extended from stability analysis of piecewise linea...
The investigation is concerned with the problems of optimal observation of dynamic systems with the ...
The mathematical technique of dynamic programming may be used to determine the control function whic...
Abstract—The use of piecewise quadratic cost functions is ex-tended from stability analysis of piece...
In an earlier paper, the authors derived bounds on the worst-case deviation that the response of a n...
A numerical algorithm for computing necessary conditions for performance specifications is developed...
AbstractWe show how to obtain sharp lower bounds on the asymptotic error of algorithms for solving n...