The paper deals with the design problem of control algorithms in fuzzy systems described by means of fuzzy relational equations, which can be implemented in the framework of fuzzy controllers applied to control of ill...
Several methods for the identification of linear multivariable continuous-time systems from the samples of input-output data are discussed. These include three new methods proposed by the authors. The suitability of t...
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Several methods for the identification of linear multivariable continuous-time systems from the samples of input-output data are discussed. These include three new methods proposed by the authors. The suitability of these methods for estimating the parameters of the system using recursive least-squares algorithm is compared using a simulated example. The results indicate that the best results are obtained using the block pulse function method as proposed by the authors.
An algorithm for recursive estimation of controlled ARMA processes is presented. The algorithm first estimates an autoregressive model, uses the resultant residual estimates to fit an ARMA process, which is employed t...
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An algorithm for recursive estimation of controlled ARMA processes is presented. The algorithm first estimates an autoregressive model, uses the resultant residual estimates to fit an ARMA process, which is employed to filter the data. An improved ARMA process is then fitted. Recursive least squares is employed at each step. Convergence is established and simulation results illustrate the behaviour of the algorithm.
In this paper the singular optimal control problem of linear discrete-time system with fixed end points and free final time is investigated. Expression for the optimal control is obtained by changing the problem to a ...
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In this paper the singular optimal control problem of linear discrete-time system with fixed end points and free final time is investigated. Expression for the optimal control is obtained by changing the problem to a minimum norm problem with linear constraints and applying some appropriate theorems. Existence, uniqueness, and optimality are proven. Iterative relationships to compute the main matrix in the optimal control expression are given. In order to simplify and reduce the computations a significant suboptimal control is described. It is shown that the suboptimal control aproaches the system to the final desired state each time of its application, moreover, it is gauranteed to reach the final state in finite steps.
In this paper the behaviour of 2-D discrete systems which contain a finite number of memoryless nonlinearitics is considered. Sufficient conditions for the nonexistence of limit cycles are derived using a frequency do...
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In this paper the behaviour of 2-D discrete systems which contain a finite number of memoryless nonlinearitics is considered. Sufficient conditions for the nonexistence of limit cycles are derived using a frequency domain approach analogous to that used in [1]. The conditions derived are shown to be more general than those already given in [1] and [5]. Also presented are the extensions to the higher dimensional case as well as a simplified check of that condition. An algebraic test, which guaranties the nonoccurence of overflow oscillations in a discrete system in the state space, is formulated based on the results of [7] and on the properties of quasidominant matrices. Finally, the quantization error due to the finite word length of a first order 2-D digital filter is considered and formulae for the amplitude bounds and mean square are given.
作者：
T.L. JohnsonControl Systems Department
Bolt Beranek and Newman Inc. Cambridge Massachusetts and Department of Electrical Engineering and Computer Science M.I. T. Room 35-205B Cambridge Massachusetts USA
We present an algorithm for solving singular value inequalities over a continuum of frequencies. The algorithm is in two parts: a master algorithm which constructs an infinite sequence of finite sets of inequalities a...
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We present an algorithm for solving singular value inequalities over a continuum of frequencies. The algorithm is in two parts: a master algorithm which constructs an infinite sequence of finite sets of inequalities and a nondifferentiable optimization subalgorithm which solves these finite sets of inequalities.
This paper shows how the design of feedback controllers for nonlinear systems may be formulated as an optimization problem with infinite dimensional constraints for which known algorithms may be employed. An important...
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This paper shows how the design of feedback controllers for nonlinear systems may be formulated as an optimization problem with infinite dimensional constraints for which known algorithms may be employed. An important aspect is a method for reducing the time interval, required to insure stability, to a finite value.
The design problem of choosing a set of parameters so that inequality constraints are satisfied for a specified variation of parameter values about their nominal value, is considered. Such problems occur when systems ...
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The design problem of choosing a set of parameters so that inequality constraints are satisfied for a specified variation of parameter values about their nominal value, is considered. Such problems occur when systems must be synthesized from components whose values are only known to a certain tolerance. Simple algorithms exist for such problems when the constraints are convex. This paper presents an algorithm which is valid for the non-convex case, The algorithm utilizes concepts employed by Eaves and Zangwill in their generalized cutting plane algorithms.
Dynamic Simulation is defined as the hardware and software required to present to the student operator visual and audible cues and responses that are the same as those encountered when operating the control Consoles a...
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