We proved the closed systems global asymptotical stable, not needing the error upper bound and the errorsquareintegral, all the signals are bounded and the tracing error convergence.
Meanwhile, this paper quantitatively evaluates the design method using ISE (integral of squareerror) performance criterion.
同时本文采用ISE(误差平方积分)性能指标量化地评价了这种设计方法。
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The optimum of the learning gains is determined in the sense that the integral of squareerror of the first learning is minimal, thus the aim of choosing learning gains is clear.