Source code for pySimBlocks.gui.blocks.operators.rate_limiter
# ******************************************************************************
# pySimBlocks
# Copyright (c) 2026 Université de Lille & INRIA
# ******************************************************************************
# This program is free software: you can redistribute it and/or modify it
# under the terms of the GNU Lesser General Public License as published by
# the Free Software Foundation, either version 3 of the License, or (at your
# option) any later version.
#
# This program is distributed in the hope that it will be useful, but WITHOUT
# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
# FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License
# for more details.
#
# You should have received a copy of the GNU Lesser General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
# ******************************************************************************
# Authors: see Authors.txt
# ******************************************************************************
from pySimBlocks.gui.blocks.block_meta import BlockMeta
from pySimBlocks.gui.blocks.parameter_meta import ParameterMeta
from pySimBlocks.gui.blocks.port_meta import PortMeta
[docs]
class RateLimiterMeta(BlockMeta):
"""Describe the GUI metadata of the rate-limiter block."""
def __init__(self):
"""Initialize rate-limiter block metadata.
Args:
None.
Raises:
None.
"""
self.name = "RateLimiter"
self.category = "operators"
self.type = "rate_limiter"
self.summary = "Discrete-time rate limiter block."
self.description = (
"Limits the rate of change of the output signal according to:\n"
"$$\n"
"\\Delta u = u[k] - y[k-1]\n"
"$$\n"
"$$\n"
"y[k] = y[k-1] + \\mathrm{clip}(\\Delta u,\\; s^{-} dt,\\; s^{+} dt)\n"
"$$\n"
"where $s^{+}$ is the rising slope and $s^{-}$ is the falling slope."
)
self.parameters = [
ParameterMeta(
name="rising_slope",
type="scalar | vector | matrix"
),
ParameterMeta(
name="falling_slope",
type="scalar | vector | matrix"
),
ParameterMeta(
name="initial_output",
type="scalar | vector | matrix"
),
ParameterMeta(
name="sample_time",
type="float"
)
]
self.inputs = [
PortMeta(
name="in",
display_as="in",
shape=["n", "m"],
description="Input signal."
)
]
self.outputs = [
PortMeta(
name="out",
display_as="out",
shape=["n", "m"],
description="Rate-limited output signal."
)
]